{"meta":{"query_hash":"aeeb0b9e791a","filters":{"venue":"Laser & Infrared"},"cohort_total":11,"direct_labels_cover":0,"predictions_cover":11,"exported":11,"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/aeeb0b9e791a","api":"https://metacan.xera.ac/api/v1/cohort?venue=Laser+%26+Infrared"},"results":[{"id":"W2348715555","doi":"","title":"A Pricisely Tracking Method of IR Weak Target","year":2005,"lang":"en","type":"article","venue":"Laser & Infrared","topic":"Infrared Target Detection Methodologies","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":"L'Alliance Boviteq","funders":"","keywords":"Channel (broadcasting); Filter (signal processing); Tracking (education); Computer science; Frame (networking); Noise (video); Enhanced Data Rates for GSM Evolution; Algorithm; Computer vision; Telecommunications; Image (mathematics)","score_opus":0.026011689085977282,"score_gpt":0.2762253857416611,"score_spread":0.2502136966556838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2348715555","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.169946,0.0009210907,0.71550304,0.00013931566,0.0013112813,0.00051608676,0.000078616686,0.0022275918,0.10935699],"genre_scores_gemma":[0.092496574,0.000033250617,0.9056522,0.00010928669,0.00024210896,0.000041294137,0.000010384013,0.00006800805,0.0013468742],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99847674,0.00015499354,0.0005116934,0.00022740032,0.00023910422,0.00039004337],"domain_scores_gemma":[0.9989485,0.0003611984,0.0000953486,0.00041145008,0.00010283701,0.00008065016],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006166341,0.00024165302,0.00039226838,0.00023296557,0.000056515448,0.00002997389,0.00027178213,0.0001924799,0.000613516],"category_scores_gemma":[0.00035579057,0.0002477457,0.00015268142,0.0004321967,0.000039356648,0.00037439473,0.00004836559,0.00031243244,0.00009425384],"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":[0.00010337575,0.00008699873,0.0009778345,0.0003059717,0.00028998544,0.000015837188,0.002706431,0.57645595,0.30521202,0.0008790449,0.0154229915,0.09754355],"study_design_scores_gemma":[0.00045968243,0.000042653803,0.0020226787,0.000029497696,0.00002569753,0.00001838534,0.00021427128,0.022118391,0.89132476,0.0028724347,0.080549955,0.00032157364],"about_ca_topic_score_codex":0.0000051647594,"about_ca_topic_score_gemma":0.0000031126488,"teacher_disagreement_score":0.5861128,"about_ca_system_score_codex":0.00008936495,"about_ca_system_score_gemma":0.00002583557,"threshold_uncertainty_score":0.9999975},"labels":[],"label_agreement":null},{"id":"W2351229001","doi":"","title":"F-P Demodulation Method of Fiber Bragg Grating and Scale Changeable Sampling Technique","year":2009,"lang":"en","type":"article","venue":"Laser & Infrared","topic":"Advanced Sensor and Control Systems","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":"L'Alliance Boviteq","funders":"","keywords":"Demodulation; Fiber Bragg grating; Sampling (signal processing); Computer science; Filter (signal processing); Scale (ratio); Fiber; Electronic engineering; Optics; Telecommunications; Optical fiber; Materials science; Physics; Engineering; Computer vision","score_opus":0.011450003868025221,"score_gpt":0.24977120336779582,"score_spread":0.2383211994997706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2351229001","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11001448,0.0003291917,0.8806999,0.000024863115,0.0000780981,0.00037278415,0.000016474309,0.00030892837,0.008155331],"genre_scores_gemma":[0.86379224,0.000008860614,0.13571054,0.000035552963,0.00007353337,0.000017920887,0.000008952993,0.000017684084,0.00033469652],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994397,0.000021247151,0.000201441,0.00011179392,0.00008013181,0.00014567403],"domain_scores_gemma":[0.9996992,0.0000496427,0.000041647087,0.00014090896,0.000030889725,0.000037732207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012274063,0.00009998388,0.0001854209,0.0000556129,0.00003899437,0.000014166075,0.000043176682,0.00007412869,0.000017371602],"category_scores_gemma":[0.000017982951,0.000101084166,0.00003060293,0.000119817385,0.0000071107397,0.00014366402,0.00000752226,0.0000782332,0.0000018942899],"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":[0.000017230464,0.000013624301,0.0005390759,0.00010848316,0.00002362093,0.0000015442672,0.00057313696,0.08375507,0.82329154,0.0001717066,0.00011562867,0.09138933],"study_design_scores_gemma":[0.0013753778,0.00015873731,0.016682977,0.00039605366,0.00005812294,0.00005150119,0.00025201085,0.23160692,0.72192585,0.016611623,0.010140289,0.00074055186],"about_ca_topic_score_codex":0.000011346209,"about_ca_topic_score_gemma":0.000005648277,"teacher_disagreement_score":0.7537778,"about_ca_system_score_codex":0.000017319133,"about_ca_system_score_gemma":0.000002737688,"threshold_uncertainty_score":0.41220927},"labels":[],"label_agreement":null},{"id":"W2352069733","doi":"","title":"Determination of Radiant Intensity of Laser Spot on Cornea","year":2001,"lang":"en","type":"article","venue":"Laser & Infrared","topic":"Ocular and Laser Science Research","field":"Medicine","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":"Discovery Air (Canada)","funders":"","keywords":"Cornea; Optics; Laser; Materials science; Reflection (computer programming); Intensity (physics); Physics; Computer science","score_opus":0.028960297382144066,"score_gpt":0.30255791457351816,"score_spread":0.2735976171913741,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2352069733","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98606145,0.000024183955,0.00019003215,0.0003238343,0.00008556984,0.00021844912,0.000011624349,0.0000173505,0.0130675165],"genre_scores_gemma":[0.9959376,0.00003957632,0.0005178808,0.00026447704,0.00004077616,0.000004354044,0.00001886209,0.000008784825,0.003167704],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989006,0.000036158544,0.00023940622,0.00017836568,0.0004346146,0.00021085952],"domain_scores_gemma":[0.9990765,0.000067867506,0.000078687495,0.00036928008,0.00026714368,0.00014055392],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003081395,0.00008867225,0.00026120103,0.00018160748,0.000029557208,0.000006992405,0.00011955366,0.000069837675,0.0003683677],"category_scores_gemma":[0.00028972095,0.00007143733,0.00009964296,0.0004016929,0.00014258227,0.00009323949,0.00003796572,0.0001371849,0.00004750519],"study_design_candidate":"observational","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":[0.008815817,0.0037948294,0.5896072,0.001009556,0.0002331262,0.002242182,0.0034474507,0.00022197014,0.14256944,0.0006153395,0.015103525,0.23233959],"study_design_scores_gemma":[0.0025036407,0.0013437626,0.28904238,0.00029594492,0.000055540975,0.00007897166,0.00026092955,0.005739896,0.6931026,0.00046350202,0.006944493,0.00016830706],"about_ca_topic_score_codex":0.00009508858,"about_ca_topic_score_gemma":0.000024101588,"teacher_disagreement_score":0.5505332,"about_ca_system_score_codex":0.000038796785,"about_ca_system_score_gemma":0.00009923837,"threshold_uncertainty_score":0.4033368},"labels":[],"label_agreement":null},{"id":"W2354548535","doi":"","title":"Research on Temperature Characteristic of Quarter-waveplate and its Effect on Fiber Optical Current Transformers","year":2006,"lang":"en","type":"article","venue":"Laser & Infrared","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Verdet constant; Waveplate; Optics; Transformer; Electromagnetic coil; Materials science; Optical fiber; Quarter (Canadian coin); Retarder; Electrical engineering; Faraday effect; Physics; Composite material; Voltage; Engineering; Magnetic field","score_opus":0.021039602133223635,"score_gpt":0.3312405076920913,"score_spread":0.31020090555886765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2354548535","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.967944,0.000077243545,0.02345529,0.0010043597,0.0000847223,0.0007033801,0.00004444252,0.00015179493,0.0065347473],"genre_scores_gemma":[0.9970931,0.000010529604,0.0024031347,0.00006063919,0.00005232125,0.00009102614,0.000025326426,0.000008022487,0.00025589665],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989516,0.000056742327,0.00018459343,0.00029665188,0.00030799318,0.00020237583],"domain_scores_gemma":[0.999294,0.00030367752,0.00003785478,0.00020697385,0.000096836084,0.00006069874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001739766,0.00011506023,0.00013913329,0.000116512834,0.00010924143,0.000052513973,0.00021167025,0.000056589415,0.000009840452],"category_scores_gemma":[0.000010300976,0.00009501714,0.000040691648,0.0003188932,0.00004289727,0.0001339537,0.000035372617,0.00027692155,0.00003727676],"study_design_candidate":"theoretical_or_conceptual","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":[0.00040858018,0.0011921277,0.000105424464,0.00040115512,0.000046618607,0.00004836253,0.00041866285,0.0033574246,0.05258706,0.7111018,0.010257416,0.22007543],"study_design_scores_gemma":[0.0035869554,0.007970108,0.052637644,0.0011274603,0.000034210585,0.000049468264,0.000026269186,0.055924043,0.6858006,0.12638307,0.0650811,0.0013790492],"about_ca_topic_score_codex":0.0000015401632,"about_ca_topic_score_gemma":3.5616432e-7,"teacher_disagreement_score":0.6332136,"about_ca_system_score_codex":0.00002676544,"about_ca_system_score_gemma":0.000022903414,"threshold_uncertainty_score":0.38746864},"labels":[],"label_agreement":null},{"id":"W2355601080","doi":"","title":"The Hardware Design of Automatic Collimation System Based on Image Processing","year":2006,"lang":"en","type":"article","venue":"Laser & Infrared","topic":"Image Processing Techniques and Applications","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":"L'Alliance Boviteq","funders":"","keywords":"Computer vision; Computer science; Image processing; Missile; Artificial intelligence; Collimated light; Image quality; Image (mathematics); Software; Depth of field; Aperture (computer memory); Computer graphics (images); Field (mathematics); Optics; Mathematics; Laser; Physics; Engineering; Acoustics","score_opus":0.008056626976411841,"score_gpt":0.21537472847544056,"score_spread":0.2073181014990287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2355601080","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0029276374,0.00011261823,0.983581,0.00007167541,0.000035527937,0.00047355483,0.000017058066,0.0012878901,0.011493049],"genre_scores_gemma":[0.90625125,0.0000019858592,0.09323261,0.000018356901,0.000029831072,0.00025220562,0.000020058114,0.000030936477,0.00016275655],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99934894,0.000021879105,0.00025184648,0.000091305,0.00014391232,0.00014211476],"domain_scores_gemma":[0.9995051,0.00007613104,0.000077910525,0.00023518004,0.000088500194,0.000017163831],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015727326,0.0001055566,0.00010723543,0.000047953497,0.00017234372,0.00010374652,0.00015202012,0.000045330096,0.00000576047],"category_scores_gemma":[0.000015466454,0.000082445105,0.000030703977,0.0002355276,0.000035146782,0.00010931312,0.000008359236,0.000069654285,0.000012403137],"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":[0.00006768994,0.0002823995,0.00016301648,0.0073181675,0.000045715205,0.000015440079,0.00043601042,0.7479549,0.09355003,0.003953805,0.07866333,0.0675495],"study_design_scores_gemma":[0.00013116155,0.0000133611675,0.00016581416,0.0002714691,0.000012696424,0.0000010843755,0.000033077864,0.92742825,0.07060473,0.000508924,0.0007391379,0.00009030563],"about_ca_topic_score_codex":0.000004797696,"about_ca_topic_score_gemma":6.1344844e-7,"teacher_disagreement_score":0.90332365,"about_ca_system_score_codex":0.00007129158,"about_ca_system_score_gemma":0.000033027405,"threshold_uncertainty_score":0.33620137},"labels":[],"label_agreement":null},{"id":"W2359252647","doi":"","title":"Experimental Characterization of High Power Short Pulsed VCSELs","year":2008,"lang":"en","type":"article","venue":"Laser & Infrared","topic":"Semiconductor Lasers and Optical Devices","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":"L'Alliance Boviteq","funders":"","keywords":"Materials science; Optics; Laser; Optoelectronics; Pulse (music); Vertical-cavity surface-emitting laser; Wavelength; Power (physics); Pulse-width modulation; Aperture (computer memory); Semiconductor laser theory; Physics","score_opus":0.011267636292190122,"score_gpt":0.203496242210329,"score_spread":0.19222860591813887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2359252647","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9936618,0.00005889279,0.00008204038,0.0000072437815,0.00038022595,0.00010234702,0.000036512607,0.00014505877,0.0055258456],"genre_scores_gemma":[0.99920976,0.000020024312,0.00017810252,0.000082992934,0.000054416774,0.000013588745,0.000102206635,0.00002729996,0.0003115957],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993519,0.00000865031,0.00021724048,0.00012065466,0.00013736515,0.00016416611],"domain_scores_gemma":[0.99968547,0.000015000343,0.000018252375,0.00018152718,0.000030598876,0.00006916701],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000021961769,0.00012397999,0.00017928738,0.000049839204,0.000030589257,0.0000103994025,0.000100284786,0.000077008684,0.000892346],"category_scores_gemma":[0.0000063234456,0.00012071758,0.000050410963,0.0001256815,0.000041589905,0.00022540196,0.00001857833,0.000068870286,0.00003938817],"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":[0.000013744107,0.000047437996,0.0012681681,0.000015099135,0.000031378167,0.000013876128,0.00033245,0.00017477515,0.9974752,0.00009150484,0.00046378156,0.00007257106],"study_design_scores_gemma":[0.0002465918,0.00004030804,0.029511828,0.00001545153,0.0000063760567,0.0000053169383,0.00004244983,0.00088173593,0.9671023,0.00001962202,0.0019717996,0.00015625688],"about_ca_topic_score_codex":0.00000771391,"about_ca_topic_score_gemma":4.3752652e-7,"teacher_disagreement_score":0.03037295,"about_ca_system_score_codex":0.000024429011,"about_ca_system_score_gemma":0.000009315283,"threshold_uncertainty_score":0.9770563},"labels":[],"label_agreement":null},{"id":"W2365711813","doi":"","title":"Research on Application of Fiber Bragg Grating in Large Scale Equipments′ Strain Detection","year":2007,"lang":"en","type":"article","venue":"Laser & Infrared","topic":"Advanced Fiber Optic Sensors","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":"L'Alliance Boviteq","funders":"","keywords":"Fiber Bragg grating; Notice; Materials science; Calibration; Optics; Scale (ratio); Diffraction; Sensitivity (control systems); Measuring principle; Strain (injury); Optical fiber; Computer science; Electronic engineering; Physics; Engineering; Law","score_opus":0.019106208916983086,"score_gpt":0.3066593956966097,"score_spread":0.2875531867796266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2365711813","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95615274,0.000018968933,0.030813476,0.0000083036475,0.00007815927,0.00030508565,0.000025076688,0.000121024845,0.012477143],"genre_scores_gemma":[0.99641186,0.0000028420009,0.0031275768,0.000015092123,0.000050522285,0.000029223469,0.00001983197,0.000032718097,0.00031035484],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99883217,0.00003027723,0.0003062195,0.0001762882,0.0002784732,0.0003765968],"domain_scores_gemma":[0.999422,0.00017593981,0.000034824796,0.000258557,0.000055836426,0.000052819658],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006929559,0.00010013184,0.00012254115,0.0002681484,0.000042579355,0.000009429858,0.000098766606,0.00011016753,0.00005035108],"category_scores_gemma":[0.000047737965,0.00011318649,0.000027085372,0.000605616,0.000027366334,0.00011645071,0.000024686184,0.00032128385,0.000060961465],"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":[0.00023336214,0.00030580073,0.003884697,0.00026506968,0.000049354305,0.000026834346,0.003847311,0.2657982,0.54288507,0.0007208568,0.00027819088,0.18170527],"study_design_scores_gemma":[0.0019042748,0.00018156368,0.06114247,0.00016543799,0.0000071182567,0.000004333127,0.0026399873,0.08304857,0.8416031,0.0030069782,0.005859055,0.00043713898],"about_ca_topic_score_codex":0.000015431335,"about_ca_topic_score_gemma":0.00024182025,"teacher_disagreement_score":0.298718,"about_ca_system_score_codex":0.00016065796,"about_ca_system_score_gemma":0.0000065510226,"threshold_uncertainty_score":0.4615611},"labels":[],"label_agreement":null},{"id":"W2367010153","doi":"","title":"A New Fast Correlation Matching Algorithm Based on Grads Texture Characteristic","year":2004,"lang":"en","type":"article","venue":"Laser & Infrared","topic":"Advanced Measurement and Detection Methods","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":"L'Alliance Boviteq","funders":"","keywords":"Similarity (geometry); Matching (statistics); Image (mathematics); Artificial intelligence; Computer science; Texture (cosmology); Tracking (education); Computer vision; Template matching; Algorithm; Correlation; Pattern recognition (psychology); Degree (music); Mathematics; Statistics; Geometry","score_opus":0.009924296426865379,"score_gpt":0.23001648989274956,"score_spread":0.22009219346588418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2367010153","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0042397543,0.000030410643,0.9901878,0.00004209595,0.00091164,0.0001516281,0.0000111314475,0.0005259613,0.0038995652],"genre_scores_gemma":[0.5226591,0.000012985461,0.47297254,0.0007280531,0.00079856295,0.000044816854,0.0001254194,0.000121814635,0.0025367087],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992253,0.000021180475,0.00018483002,0.00016033214,0.00021037279,0.00019799278],"domain_scores_gemma":[0.99958915,0.000036452766,0.0000383964,0.0002017737,0.000026823665,0.00010742738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000950749,0.0001746481,0.00014590927,0.00010889594,0.000073937714,0.00003992588,0.000071452865,0.00009861936,0.00013702096],"category_scores_gemma":[0.000030248368,0.00017730548,0.00006129996,0.00021523231,0.000007631221,0.00017612729,0.000006692563,0.00025547686,0.00010714254],"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":[0.000040506973,0.00002576469,0.00006141675,0.000033682165,0.000019905621,0.000015211699,0.00028219118,0.77520335,0.007912574,0.00008156089,0.0006462064,0.21567763],"study_design_scores_gemma":[0.009899024,0.0005374301,0.025388462,0.00079492986,0.00015201721,0.00003155265,0.00022401035,0.75883883,0.09730945,0.03619956,0.068469,0.0021557396],"about_ca_topic_score_codex":0.0000075664525,"about_ca_topic_score_gemma":0.000003855579,"teacher_disagreement_score":0.5184194,"about_ca_system_score_codex":0.00012976555,"about_ca_system_score_gemma":0.000028572935,"threshold_uncertainty_score":0.7230308},"labels":[],"label_agreement":null},{"id":"W2377033487","doi":"","title":"Effect of laser noise on the precision of fiber Bragg grating demodulation","year":2009,"lang":"en","type":"article","venue":"Laser & Infrared","topic":"Optical Systems and Laser Technology","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":"L'Alliance Boviteq","funders":"","keywords":"Fiber Bragg grating; Optics; Demodulation; Noise (video); Blazed grating; Grating; Laser; Relative intensity noise; Optical fiber; Materials science; Physics; Computer science; Telecommunications; Diffraction grating; Semiconductor laser theory","score_opus":0.004911481354521095,"score_gpt":0.21152674567829038,"score_spread":0.20661526432376928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2377033487","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99110866,0.000035641842,0.00019339113,0.000074989126,0.00009035245,0.00026366764,0.0000106073485,0.00012131285,0.00810137],"genre_scores_gemma":[0.99949557,0.0000028361587,0.00018008795,0.000028119674,0.000032829117,0.000010459521,0.0000063300695,0.000013175703,0.00023061514],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992468,0.000058280526,0.00029117765,0.000108318265,0.00015243934,0.00014302043],"domain_scores_gemma":[0.9992262,0.00033966373,0.00006148635,0.00031520808,0.000030440771,0.00002700518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002401356,0.00012116657,0.00022311317,0.000059135727,0.000028095033,0.000008428087,0.00012982106,0.00013090952,0.00010669692],"category_scores_gemma":[0.00015367162,0.00007809497,0.00007371697,0.00019805226,0.000024360004,0.0000635856,0.000015277743,0.00013506536,0.000026122318],"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":[0.0006790052,0.0003432272,0.0070635052,0.0009273088,0.00027460788,0.000020872145,0.00093344157,0.35269225,0.25820735,0.007302501,0.020983575,0.35057238],"study_design_scores_gemma":[0.00071649015,0.00094049645,0.013047172,0.00028249968,0.00003161463,0.0000020831033,0.000014134524,0.039002143,0.942419,0.0013093349,0.0020560867,0.00017895113],"about_ca_topic_score_codex":0.000007340968,"about_ca_topic_score_gemma":0.0000023531106,"teacher_disagreement_score":0.6842117,"about_ca_system_score_codex":0.000017498587,"about_ca_system_score_gemma":0.0000031970587,"threshold_uncertainty_score":0.31846204},"labels":[],"label_agreement":null},{"id":"W2391221011","doi":"","title":"A New Method of Infrared Target Image Segmentation","year":2005,"lang":"en","type":"article","venue":"Laser & Infrared","topic":"Advanced Measurement and Detection Methods","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":"L'Alliance Boviteq","funders":"","keywords":"Artificial intelligence; Segmentation; Computer science; Pixel; Computer vision; Infrared; Region growing; Image segmentation; Process (computing); Pattern recognition (psychology); Scale-space segmentation; Physics; Optics","score_opus":0.01538432032535682,"score_gpt":0.2950678592922965,"score_spread":0.2796835389669397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2391221011","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0027150775,0.00018364523,0.9696581,0.000025018619,0.0002669762,0.00017303208,0.000010740716,0.0003162245,0.026651205],"genre_scores_gemma":[0.0034534554,0.000021560636,0.9912522,0.0000980952,0.000205156,0.000019047658,0.000017115564,0.00003418027,0.004899213],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99910337,0.000054253935,0.00031289284,0.00013813523,0.00020262103,0.00018873552],"domain_scores_gemma":[0.99950206,0.000057900303,0.000061206796,0.0002184122,0.00006275071,0.000097695374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023090669,0.00014758095,0.00019712733,0.00011993625,0.00002979396,0.000017506698,0.00009564104,0.00007238843,0.00087799935],"category_scores_gemma":[0.00006191408,0.0001566424,0.000076182834,0.0002744409,0.000011679192,0.00042226704,0.00001654826,0.00012149169,0.000052459527],"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":[0.00006720299,0.000027094991,0.00014100506,0.000081653794,0.00008476269,0.0000021614464,0.0008630736,0.08093589,0.7055148,0.00006815764,0.024330338,0.18788385],"study_design_scores_gemma":[0.0008368149,0.000031023483,0.00031717672,0.000015429821,0.000020205638,0.0000025038119,0.00007924182,0.010574528,0.90829855,0.003496853,0.07614776,0.00017988884],"about_ca_topic_score_codex":0.0000050261506,"about_ca_topic_score_gemma":0.0000049671453,"teacher_disagreement_score":0.20278378,"about_ca_system_score_codex":0.00006595326,"about_ca_system_score_gemma":0.00002408185,"threshold_uncertainty_score":0.96134776},"labels":[],"label_agreement":null},{"id":"W2394180536","doi":"","title":"Recognition of Automatic Collimation of Norm Pole in Natural Scene","year":2006,"lang":"en","type":"article","venue":"Laser & Infrared","topic":"Advanced Measurement and Detection Methods","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":"L'Alliance Boviteq","funders":"","keywords":"Pixel; Norm (philosophy); Artificial intelligence; Computer vision; Computer science; Mathematics; Collimated light; Physics; Optics; Law","score_opus":0.013781241829846708,"score_gpt":0.23491376322244437,"score_spread":0.22113252139259765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2394180536","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.984336,0.00013341202,0.009277949,0.0000044574313,0.00020964106,0.00013384612,0.000008966569,0.00009647933,0.0057992353],"genre_scores_gemma":[0.96116066,0.0000062051,0.038665313,0.0000056532426,0.000023462828,0.00001027785,0.000024245352,0.000009117115,0.000095052594],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99947935,0.000020362879,0.0002607928,0.00005132595,0.00010668945,0.000081487015],"domain_scores_gemma":[0.99977577,0.000031101,0.000054974727,0.000076093456,0.00005164676,0.000010417085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011748179,0.00005970613,0.00012006856,0.00012255849,0.000009173678,0.0000031037755,0.000029818651,0.00003865506,0.000044535747],"category_scores_gemma":[0.000035366123,0.00006371857,0.000027983098,0.00026185423,0.000011714587,0.00013488243,0.0000041603985,0.000056087767,0.0000047927097],"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":[0.00007524198,0.00012449303,0.0050614704,0.00084057794,0.000031268413,0.0000024386545,0.0002979592,0.06601199,0.8145252,0.000056866113,0.0006724693,0.11230004],"study_design_scores_gemma":[0.0007547188,0.000027527132,0.03694902,0.00012407757,0.000010112032,9.02106e-7,0.000045383018,0.07095243,0.8871331,0.0037344964,0.00015938353,0.0001088265],"about_ca_topic_score_codex":0.000018595192,"about_ca_topic_score_gemma":0.00005014207,"teacher_disagreement_score":0.11219121,"about_ca_system_score_codex":0.000042792843,"about_ca_system_score_gemma":0.000006589738,"threshold_uncertainty_score":0.2598368},"labels":[],"label_agreement":null}]}