{"meta":{"query_hash":"aa8e9df34638","filters":{"venue":"OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP)"},"cohort_total":12,"direct_labels_cover":0,"predictions_cover":12,"exported":12,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/aa8e9df34638","api":"https://metacan.xera.ac/api/v1/cohort?venue=OSA+Imaging+and+Applied+Optics+Congress+2021+%283D%2C+COSI%2C+DH%2C+ISA%2C+pcAOP%29"},"results":[{"id":"W3130708190","doi":"10.1364/dh.2021.dw4c.4","title":"Label-free video-rate micro-endoscopy through flexible fibers via Fiber Bundle Distal Holography (FiDHo)","year":2021,"lang":"en","type":"preprint","venue":"OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP)","topic":"Digital Holography and Microscopy","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Azrieli Foundation; Hebrew University of Jerusalem","keywords":"Holography; Bundle; Optics; Optical fiber; Wavefront; Optical coherence tomography; Materials science; Computer science; Interferometry; Bent molecular geometry; Depth of field; Fiber; Optoelectronics; Physics","score_opus":0.009282354238259275,"score_gpt":0.24697691805830094,"score_spread":0.23769456382004167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3130708190","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.61795825,0.0038144854,0.36732343,0.0005547427,0.00019059826,0.00015544341,0.00042537326,0.0022372915,0.0073403628],"genre_scores_gemma":[0.74194527,0.0010985084,0.25241312,0.00012755478,0.00006510681,0.00006076533,0.00018259446,0.0000964997,0.00401069],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99985635,0.000012818312,0.0000070128785,0.00003955109,0.0000597672,0.000024473196],"domain_scores_gemma":[0.99980813,0.00004003637,0.000068288995,0.000047836173,0.000013741258,0.000021983655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020864898,0.0002858257,0.00024275282,0.000259034,0.00018075868,0.00029928403,0.00056591124,0.00041906728,0.00094466],"category_scores_gemma":[0.00019410226,0.00023869709,0.0002160627,0.00017754086,0.000521386,0.0007349104,0.00061427226,0.0004158159,0.00029128423],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011719004,0.000031941017,0.00042567038,0.000108393295,0.000006518407,0.000113376904,0.000056889512,0.0005017879,0.96685356,0.002452668,0.00041241336,0.028919557],"study_design_scores_gemma":[0.000025692992,0.00023070256,0.0020868354,0.000014229806,0.000009354911,0.00088073267,0.000020957175,0.007572534,0.9807442,0.00048986415,0.0078867525,0.00003816518],"about_ca_topic_score_codex":0.0003384792,"about_ca_topic_score_gemma":0.00073458377,"teacher_disagreement_score":0.00094466,"about_ca_system_score_codex":0.00024590065,"about_ca_system_score_gemma":0.00020212155,"threshold_uncertainty_score":0.0031602383},"labels":[],"label_agreement":null},{"id":"W3206522489","doi":"10.1364/3d.2021.3th4d.6","title":"Optical Performance Analysis of 3D Light Field Display Using Lens Design Software","year":2021,"lang":"en","type":"article","venue":"OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP)","topic":"Advanced Optical Imaging Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Huawei Technologies (Canada); ImmerVision (Canada)","funders":"","keywords":"Zemax; Strehl ratio; Optics; Point spread function; Computer science; Wavefront; Lens (geology); Light field; Software; Adaptive optics; Field of view; Artificial intelligence; Computer vision; Physics","score_opus":0.014056842487456447,"score_gpt":0.23691908720045507,"score_spread":0.22286224471299862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3206522489","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95090455,0.00018271324,0.045622095,0.00003696494,0.000011961841,0.000038434522,0.00033293138,0.0011158332,0.0017543891],"genre_scores_gemma":[0.98361534,0.0001262929,0.014632653,0.00001606769,0.000004741101,0.00004116743,0.00027182323,0.00018184583,0.001110164],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99950325,0.000065486405,0.00003844522,0.00006635091,0.00026195485,0.00006437492],"domain_scores_gemma":[0.9984812,0.0006939457,0.0001284878,0.00013581141,0.00052594655,0.000034628883],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042984515,0.00042704603,0.00029005684,0.0006531034,0.00022986387,0.00046999977,0.00042875987,0.00032617975,0.0024268378],"category_scores_gemma":[0.0017715851,0.00020385491,0.0003509533,0.00053747435,0.00013923866,0.00045992932,0.00025675245,0.0001679268,0.00027051193],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011817215,0.000111222325,0.005847199,0.00025622017,0.00007778956,0.00022426531,0.00030296398,0.025765426,0.9148962,0.00081571593,0.00046086218,0.050060466],"study_design_scores_gemma":[0.000053902342,0.0011636125,0.026481861,0.000015766025,0.00008714581,0.00039051982,0.00006683262,0.1319394,0.8378503,0.00018014615,0.0016811425,0.000089349065],"about_ca_topic_score_codex":0.0016166298,"about_ca_topic_score_gemma":0.0010788178,"teacher_disagreement_score":0.0024268378,"about_ca_system_score_codex":0.00042071936,"about_ca_system_score_gemma":0.00029426502,"threshold_uncertainty_score":0.00811857},"labels":[],"label_agreement":null},{"id":"W3208440095","doi":"10.1364/cosi.2021.ctu4b.3","title":"Local methods to improve cryo-electron microcopy maps","year":2021,"lang":"en","type":"article","venue":"OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP)","topic":"Advanced Electron Microscopy Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Interpretability; Sharpening; Cryo-electron microscopy; Computer science; Artificial intelligence; Data science; Nanotechnology; Materials science; Physics; Nuclear magnetic resonance","score_opus":0.0048580308433330424,"score_gpt":0.31675986516264465,"score_spread":0.3119018343193116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3208440095","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0075531057,0.0005840964,0.9866194,0.000113266935,0.00005776222,0.00005100474,0.0002683329,0.0033178262,0.0014353287],"genre_scores_gemma":[0.053495277,0.00090491056,0.93846464,0.000120172306,0.000094440256,0.00021000618,0.0008517569,0.0025726045,0.003286115],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989943,0.00021774304,0.00005520274,0.00023338574,0.00042410285,0.0000752634],"domain_scores_gemma":[0.9977379,0.0006689094,0.00019559306,0.00056333997,0.00072512415,0.000109149914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001504695,0.0014448267,0.0008675519,0.0023644858,0.00067759934,0.0017151501,0.0018442237,0.0007392728,0.0079386365],"category_scores_gemma":[0.0043537645,0.00064994284,0.000997877,0.0017027063,0.0007640102,0.0018655219,0.0023638064,0.0016616557,0.0042650253],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005588053,0.00020157761,0.0024526229,0.0017718417,0.0002778841,0.0003612015,0.00074807653,0.05815252,0.31984225,0.05277296,0.017537298,0.54532295],"study_design_scores_gemma":[0.000099825076,0.00029797378,0.0047644554,0.00015293766,0.00035419932,0.0009718848,0.00031437236,0.6439897,0.23436566,0.03936697,0.07512002,0.0002019301],"about_ca_topic_score_codex":0.0012422127,"about_ca_topic_score_gemma":0.0023784903,"teacher_disagreement_score":0.0079386365,"about_ca_system_score_codex":0.00059574255,"about_ca_system_score_gemma":0.0008451617,"threshold_uncertainty_score":0.026557326},"labels":[],"label_agreement":null},{"id":"W3210018903","doi":"10.1364/3d.2021.3w5a.5","title":"Impact of non-linear distortion on learning based approaches for depth estimation","year":2021,"lang":"en","type":"article","venue":"OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP)","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"ImmerVision (Canada); Université Laval","funders":"","keywords":"Distortion (music); Perspective (graphical); Computer science; Estimation; Artificial intelligence; Perspective distortion; Computer vision; Machine learning; Image (mathematics); Engineering","score_opus":0.024336588996893217,"score_gpt":0.2975519881040327,"score_spread":0.2732153991071395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210018903","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2512351,0.0052850875,0.73490405,0.00093311357,0.00046344835,0.00041627875,0.00048115826,0.0018673274,0.004414443],"genre_scores_gemma":[0.7522292,0.0017580278,0.24064687,0.0003811419,0.00010147469,0.00011683731,0.00075504027,0.00056745583,0.0034439687],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99469143,0.0009988402,0.0003525449,0.00083701627,0.0027550887,0.00036500004],"domain_scores_gemma":[0.98326313,0.009405977,0.0010692988,0.0018877037,0.0040535894,0.00032026265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003950753,0.0015771849,0.00079304416,0.00074439036,0.0006494837,0.0017647739,0.0015080005,0.0016472992,0.002903137],"category_scores_gemma":[0.03975027,0.000499277,0.0006118521,0.0009907287,0.0010570966,0.0026387863,0.0024757595,0.0020721238,0.0009011904],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002213363,0.0004065153,0.0076475157,0.0010051511,0.0005074754,0.0003097845,0.0003457122,0.46282747,0.06595356,0.0028293284,0.0017243098,0.45422986],"study_design_scores_gemma":[0.000071785034,0.0009790227,0.0062549654,0.000094127936,0.00014473233,0.00084637786,0.00023512883,0.87870127,0.10819203,0.0018182521,0.0025791866,0.0000830707],"about_ca_topic_score_codex":0.0075562755,"about_ca_topic_score_gemma":0.0061134966,"teacher_disagreement_score":0.0075562755,"about_ca_system_score_codex":0.0013443878,"about_ca_system_score_gemma":0.0013993151,"threshold_uncertainty_score":0.020893872},"labels":[],"label_agreement":null},{"id":"W3210254503","doi":"10.1364/isa.2021.iw6d.5","title":"Multi-Camera Motion Compensation for Remote Monitoring of Heart Rate and Respiration","year":2021,"lang":"en","type":"article","venue":"OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP)","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Rehabilitation Institute; Krembil Foundation; University of Toronto","funders":"","keywords":"Waveform; Computer vision; Computer science; Artificial intelligence; Motion compensation; Isolation (microbiology); Motion (physics); Compensation (psychology); Respiratory rate; Heart rate; Medicine; Telecommunications; Blood pressure","score_opus":0.019547867589242398,"score_gpt":0.25090042255837,"score_spread":0.23135255496912757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210254503","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31048155,0.0018910316,0.6813911,0.0005135251,0.00023168343,0.00014633551,0.0002477348,0.0015489571,0.0035480352],"genre_scores_gemma":[0.7492619,0.00050801376,0.2467858,0.00023518236,0.00010756082,0.00007200716,0.00013722436,0.00006111471,0.0028311936],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997212,0.000030218702,0.000010425869,0.0000729674,0.00013252163,0.000032688447],"domain_scores_gemma":[0.999828,0.000042735704,0.000038800023,0.0000253604,0.000044238393,0.000020858468],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022339528,0.00045581488,0.00029030803,0.0003457776,0.00016333991,0.00026763638,0.00054583146,0.00053592864,0.0014594516],"category_scores_gemma":[0.0005158406,0.00018509333,0.00021098262,0.00020005791,0.000118984666,0.00041367303,0.00041329206,0.00038773534,0.00029633517],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027300522,0.000091749294,0.0019610068,0.00012393818,0.000024021816,0.00016538406,0.00006152518,0.0022114408,0.8691109,0.00037232,0.00073125935,0.12487348],"study_design_scores_gemma":[0.00007278682,0.0010492319,0.030446818,0.000037788395,0.00007581057,0.0027936494,0.00004820063,0.13711758,0.82037884,0.00042069508,0.007466495,0.00009218383],"about_ca_topic_score_codex":0.0007807286,"about_ca_topic_score_gemma":0.002077573,"teacher_disagreement_score":0.0014594516,"about_ca_system_score_codex":0.0001712726,"about_ca_system_score_gemma":0.0002213003,"threshold_uncertainty_score":0.0048823357},"labels":[],"label_agreement":null},{"id":"W3212126214","doi":"10.1364/dh.2021.dw5e.5","title":"Structured Light: Engineering the Phase and Amplitude of Light in a Simple Medium","year":2021,"lang":"en","type":"article","venue":"OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP)","topic":"Orbital Angular Momentum in Optics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Simple (philosophy); Amplitude; Phase (matter); Computer science; Optics; Physics","score_opus":0.004327440171016416,"score_gpt":0.22374969847361603,"score_spread":0.21942225830259962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3212126214","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16169786,0.0003000098,0.82419986,0.0003091523,0.00014579357,0.00016307549,0.00009882269,0.00021203575,0.012873351],"genre_scores_gemma":[0.6132759,0.0005683702,0.3819994,0.00014087603,0.000051989504,0.00018114306,0.00005669451,0.000049000286,0.003676666],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998989,0.000013952091,0.0000038989824,0.000017474295,0.000054591364,0.000011117097],"domain_scores_gemma":[0.9998167,0.00004994167,0.00006536515,0.000023796058,0.000023330793,0.000020900728],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018345681,0.00047069922,0.0002363739,0.00027989136,0.00019348288,0.0005952615,0.00042407794,0.0004302174,0.00050684897],"category_scores_gemma":[0.00045288447,0.00022581022,0.000266774,0.00020540136,0.00068221934,0.0005328252,0.000468556,0.00036781759,0.0003351459],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000863936,0.000070247144,0.00027729446,0.00018894913,0.0000150943715,0.00018497847,0.00009522703,0.0189417,0.8497573,0.114765294,0.00030375796,0.015313735],"study_design_scores_gemma":[0.0001159674,0.000741458,0.00052537804,0.00005629894,0.000043890337,0.0006451588,0.00006396478,0.40578708,0.5356777,0.045530323,0.010737219,0.00007555295],"about_ca_topic_score_codex":0.00014726302,"about_ca_topic_score_gemma":0.00034236768,"teacher_disagreement_score":0.0005952615,"about_ca_system_score_codex":0.0003178859,"about_ca_system_score_gemma":0.00040050282,"threshold_uncertainty_score":0.0023064613},"labels":[],"label_agreement":null},{"id":"W3212490961","doi":"10.1364/pcaop.2021.ptu2g.4","title":"Depolarization of Linearly and Circularly Polarized LiDAR Beam by 61 Solid Targets and its Impact on Detection Range","year":2021,"lang":"en","type":"article","venue":"OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP)","topic":"Optical Polarization and Ellipsometry","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Lidar; Depolarization; Polarimetry; Optics; Contrast (vision); Range (aeronautics); Depolarization ratio; Materials science; Remote sensing; Physics; Scattering; Geology; Medicine","score_opus":0.0046616844499997685,"score_gpt":0.2218298271264634,"score_spread":0.21716814267646364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3212490961","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9749774,0.00062545604,0.014683375,0.00021505383,0.000039523366,0.000013724091,0.0001506073,0.0001258334,0.009169149],"genre_scores_gemma":[0.9940545,0.000291393,0.0041488647,0.000057850055,0.00000637758,0.000008807954,0.00017572734,0.000024970686,0.0012315263],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99955875,0.00004962483,0.000017158945,0.00008320572,0.00021155932,0.00007979335],"domain_scores_gemma":[0.9992737,0.00029050096,0.000102357364,0.000052931508,0.00024095528,0.000039550516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003274597,0.00033844408,0.00019582495,0.00036844457,0.00039345666,0.0006935651,0.00023892937,0.00046114516,0.002671852],"category_scores_gemma":[0.0008876574,0.00016575705,0.00019038645,0.0005098512,0.0004443482,0.00090567995,0.000652263,0.00050748343,0.0005763329],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040558632,0.000072209485,0.008217123,0.00013071335,0.000015925008,0.00029592082,0.00015702423,0.0020193919,0.95243484,0.0021544935,0.00036057463,0.033736285],"study_design_scores_gemma":[0.000006415601,0.00019250273,0.008915012,0.000014049933,0.000018546814,0.000622767,0.00017208191,0.00906011,0.97882015,0.0006396705,0.0015146517,0.000024126271],"about_ca_topic_score_codex":0.0003202415,"about_ca_topic_score_gemma":0.00036856168,"teacher_disagreement_score":0.002671852,"about_ca_system_score_codex":0.00027609023,"about_ca_system_score_gemma":0.00023584577,"threshold_uncertainty_score":0.008938193},"labels":[],"label_agreement":null},{"id":"W3212645078","doi":"10.1364/3d.2021.3w3g.3","title":"A Novel Method for Resolving the Full Waveform Lidar Overlapped Peaks","year":2021,"lang":"en","type":"article","venue":"OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP)","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Waveform; Deconvolution; Lidar; Computer science; Iterative method; Matched filter; Filter (signal processing); Algorithm; Artificial intelligence; Remote sensing; Computer vision; Geology; Telecommunications; Radar","score_opus":0.010732610789814911,"score_gpt":0.25178234514993375,"score_spread":0.24104973436011884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3212645078","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004768899,0.00024596165,0.99276733,0.000053146698,0.00008194216,0.000051068386,0.000052834894,0.0005335761,0.0014453173],"genre_scores_gemma":[0.035497244,0.0002562585,0.96109706,0.00006670225,0.0000555895,0.00008850865,0.00013379673,0.00011220844,0.0026926124],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99949324,0.00004078608,0.000019136662,0.00007941827,0.00033200567,0.000035453068],"domain_scores_gemma":[0.999595,0.0000767896,0.000041500127,0.000060501883,0.00019336004,0.000032833028],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048014958,0.00073832297,0.0005249097,0.0012382588,0.0004973396,0.0007638078,0.0014007798,0.0011057684,0.0035254231],"category_scores_gemma":[0.0009175648,0.0004645736,0.00059589103,0.0009956013,0.00035888405,0.0016818399,0.0012212604,0.0010168426,0.0018827226],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012439492,0.00009637076,0.0005252813,0.0003232571,0.000060017417,0.00021040055,0.0001495325,0.0065698405,0.4981973,0.014285264,0.0031105066,0.47634783],"study_design_scores_gemma":[0.00006157382,0.00023922192,0.0012505706,0.00005301095,0.000077328084,0.002416907,0.00008198611,0.53102493,0.4224536,0.006663164,0.03550234,0.00017531734],"about_ca_topic_score_codex":0.00091749657,"about_ca_topic_score_gemma":0.0014245943,"teacher_disagreement_score":0.0035254231,"about_ca_system_score_codex":0.00044375492,"about_ca_system_score_gemma":0.0011322869,"threshold_uncertainty_score":0.011793733},"labels":[],"label_agreement":null},{"id":"W3213445823","doi":"10.1364/dh.2021.dth4f.3","title":"Ongoing challenges with Edge Machine Learning for Radiation Instrumentation","year":2021,"lang":"en","type":"article","venue":"OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP)","topic":"Radiation Detection and Scintillator Technologies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Instrumentation (computer programming); Computer science; Detector; Enhanced Data Rates for GSM Evolution; Particle detector; Embedded system; Artificial intelligence; Operating system; Telecommunications","score_opus":0.009806747520604097,"score_gpt":0.2296251976970736,"score_spread":0.2198184501764695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3213445823","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02582823,0.14037694,0.32261175,0.45445108,0.007414656,0.0001503709,0.002078106,0.0069912868,0.040097564],"genre_scores_gemma":[0.24791658,0.08830909,0.5579925,0.048274934,0.012886618,0.0005819962,0.005160412,0.0027758575,0.036101952],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9939786,0.0019244266,0.00025661004,0.0010050657,0.0023544817,0.00048084292],"domain_scores_gemma":[0.9565462,0.026528755,0.00064857345,0.0027241132,0.011444061,0.0021082684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02062265,0.0010791945,0.0013972251,0.0012199049,0.0014133453,0.004772096,0.0051509095,0.0043378137,0.012259334],"category_scores_gemma":[0.033966847,0.0006080872,0.0008038289,0.0014960428,0.003629906,0.014755478,0.0041010003,0.008455156,0.009535596],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003369996,0.00029165146,0.0035697578,0.0012307627,0.00009661961,0.00011013091,0.00030458617,0.021501562,0.0025941208,0.06624304,0.17118756,0.7325332],"study_design_scores_gemma":[0.000058475587,0.00027004024,0.0033066638,0.0011089593,0.000039741393,0.00029076476,0.0011819645,0.13196045,0.007158457,0.35144216,0.5029776,0.00020473188],"about_ca_topic_score_codex":0.0034982038,"about_ca_topic_score_gemma":0.004529294,"teacher_disagreement_score":0.02062265,"about_ca_system_score_codex":0.0018786311,"about_ca_system_score_gemma":0.0027727028,"threshold_uncertainty_score":0.10906434},"labels":[],"label_agreement":null},{"id":"W3213875173","doi":"10.1364/pcaop.2021.ptu4c.2","title":"Quality Metrics for Atmospherically Distorted Images","year":2021,"lang":"en","type":"article","venue":"OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP)","topic":"Image and Video Quality Assessment","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Defence Research and Development Canada; Royal Military College of Canada","funders":"","keywords":"Computer science; Image quality; Artificial intelligence; Quality (philosophy); Ground truth; Remote sensing; Computer vision; Image (mathematics); Geography","score_opus":0.02276631694426029,"score_gpt":0.30419250780831153,"score_spread":0.28142619086405124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3213875173","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04568423,0.012090637,0.9224659,0.0005474362,0.00048620053,0.00048637541,0.0013588436,0.0026069935,0.014273279],"genre_scores_gemma":[0.28805438,0.009057043,0.68825686,0.00032964,0.00037557606,0.0003856971,0.0033692354,0.0012369915,0.008934562],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9960062,0.00049377984,0.0003345333,0.00024967577,0.0027668113,0.00014894581],"domain_scores_gemma":[0.9899104,0.0019942783,0.0013975204,0.0008687437,0.005624651,0.00020430417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027640946,0.0010803399,0.0007404358,0.005617617,0.0006483201,0.0023636995,0.0010846127,0.0008251714,0.004221938],"category_scores_gemma":[0.015077217,0.0003262656,0.00063465396,0.0029554444,0.0007709236,0.0024974819,0.0013328849,0.001101917,0.001238323],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006585451,0.00015731143,0.014366774,0.0021782992,0.00030753648,0.00057233835,0.0007267305,0.0456865,0.1638645,0.023994312,0.018897437,0.7285897],"study_design_scores_gemma":[0.000096004536,0.0013083827,0.05233108,0.0011422179,0.00042125056,0.009278856,0.001045348,0.39096224,0.34694022,0.029535301,0.16620411,0.0007350615],"about_ca_topic_score_codex":0.002651233,"about_ca_topic_score_gemma":0.0025265696,"teacher_disagreement_score":0.005617617,"about_ca_system_score_codex":0.0010134499,"about_ca_system_score_gemma":0.0006012978,"threshold_uncertainty_score":0.014618099},"labels":[],"label_agreement":null},{"id":"W3214046216","doi":"10.1364/pcaop.2021.pth2e.4","title":"The importance of thermal blooming for laser weapon atmospheric propagation modelling","year":2021,"lang":"en","type":"article","venue":"OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP)","topic":"Advanced Optical Sensing Technologies","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Thermal blooming; Thermal; Laser; Optics; Energy transfer; Fiber laser; Materials science; Thermal transfer; Heat transfer; Infrared; Laser beams; Mechanics; Physics; Meteorology; Engineering physics","score_opus":0.008828144346812939,"score_gpt":0.230206344805886,"score_spread":0.22137820045907305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3214046216","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71762073,0.00092767825,0.259564,0.00058800314,0.00016836228,0.00014033321,0.000933489,0.001066777,0.018990548],"genre_scores_gemma":[0.9808456,0.0003505194,0.015993495,0.000030575193,0.000021765,0.000043199463,0.00019284846,0.00019686033,0.0023252682],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998621,0.00003414662,0.000010514675,0.000025294503,0.00003740425,0.00003049386],"domain_scores_gemma":[0.99946076,0.00030140224,0.000049413415,0.000048018162,0.0000986889,0.000041763164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037791664,0.00064646633,0.000341291,0.00037654958,0.0006112573,0.0012255873,0.0007287445,0.0011760421,0.0015551554],"category_scores_gemma":[0.0019358838,0.00043396087,0.0004914674,0.0004126211,0.0004267911,0.0012282062,0.000485678,0.00090405217,0.00029528915],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003825175,0.0000294709,0.0025449167,0.000028691838,0.000012212186,0.000066662826,0.00004483673,0.97974294,0.011262631,0.0011035091,0.0001678056,0.004958047],"study_design_scores_gemma":[0.0000028737716,0.0000084438425,0.00057220244,0.000003881499,0.0000033763438,0.00001100215,0.000009920371,0.9973168,0.0016628468,0.00019687618,0.00020558418,0.0000061443448],"about_ca_topic_score_codex":0.028985962,"about_ca_topic_score_gemma":0.0149394125,"teacher_disagreement_score":0.028985962,"about_ca_system_score_codex":0.00070734834,"about_ca_system_score_gemma":0.0010206953,"threshold_uncertainty_score":0.057634532},"labels":[],"label_agreement":null},{"id":"W3214084726","doi":"10.1364/3d.2021.3tu4a.1","title":"Single-shot 5D imaging at 100 billion frames per second using stereo-polarimetric compressed ultrafast photography","year":2021,"lang":"en","type":"article","venue":"OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP)","topic":"Advanced Optical Sensing Technologies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Ultrashort pulse; Photography; Polarimetry; Optics; Laser; Single shot; Polarization (electrochemistry); Scattering; Materials science; Physics; Chemistry","score_opus":0.020753055870965882,"score_gpt":0.24751897393173541,"score_spread":0.22676591806076954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3214084726","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48332888,0.0010805116,0.49196723,0.0004734332,0.00018497735,0.0003133066,0.0029007937,0.004120363,0.015630476],"genre_scores_gemma":[0.47219455,0.0009064721,0.516697,0.00014761878,0.00004693474,0.00022137938,0.0019922568,0.00034343085,0.0074503548],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997652,0.00001233697,0.0000092776845,0.00003328194,0.0001486247,0.000031228476],"domain_scores_gemma":[0.9996737,0.000098459925,0.00004489141,0.00006472721,0.00008418961,0.000034067954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003196985,0.0003655231,0.00029819092,0.00077154353,0.00025119638,0.0005170452,0.0006214189,0.00052187894,0.004806314],"category_scores_gemma":[0.00037607158,0.00044229164,0.00020548675,0.000631241,0.0003923388,0.0005791029,0.0006247215,0.00065896934,0.00062017754],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009038779,0.00003244209,0.0005190026,0.0001169552,0.000016199208,0.0001406638,0.0000761702,0.00133034,0.964538,0.0013502857,0.0013636303,0.030425929],"study_design_scores_gemma":[0.000024729452,0.0002120523,0.008848528,0.00003073131,0.000017950579,0.0010512542,0.00009162485,0.058474414,0.91751134,0.00079744216,0.012872704,0.000067263434],"about_ca_topic_score_codex":0.0021912407,"about_ca_topic_score_gemma":0.0071385093,"teacher_disagreement_score":0.004806314,"about_ca_system_score_codex":0.0005354727,"about_ca_system_score_gemma":0.0006717329,"threshold_uncertainty_score":0.01607871},"labels":[],"label_agreement":null}]}