{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":6,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":6,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"af6981c22a9d","filters":{"venue":"Medical Imaging 2019: Physics of Medical Imaging"}},"results":[{"id":"W2887716613","doi":"10.1117/12.2513168","title":"Learning from our neighbours: a novel approach on sinogram completion using bin-sharing and deep learning to reconstruct high quality 4DCBCT","year":2019,"lang":"en","type":"preprint","venue":"Medical Imaging 2019: Physics of Medical Imaging","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia; Lakeridge Health; University of Toronto","funders":"University of Sydney","keywords":"Ground truth; Artificial intelligence; Computer science; Deep learning; Interpolation (computer graphics); Mean squared error; Convolutional neural network; Streak; Centroid; Image quality; Similarity (geometry); Bin; Noise (video); Pattern recognition (psychology); Standard deviation; Computer vision; Algorithm; Mathematics; Image (mathematics); Statistics; Physics","authors":[{"name":"Joel Beaudry","is_ca":true},{"name":"Pedro L. Esquinas","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06009917956649681,"gpt":0.3701553606128515,"spread":0.3100561810463547,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001347371,0.001089612,0.0011643,0.0008009945,0.0003767282,0.0009288489,0.002217532,0.001097214,0.002788276],"category_scores_gemma":[0.002737867,0.0007321014,0.0009842452,0.001039948,0.0008288224,0.001724804,0.002818296,0.001766738,0.000916801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007439991,"about_ca_system_score_gemma":0.002090278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01064786,"about_ca_topic_score_gemma":0.01177055,"domain_scores_codex":[0.9993806,0.00012451,0.00003424948,0.000145873,0.0002431381,0.00007168993],"domain_scores_gemma":[0.9991033,0.000266002,0.0001109941,0.000261084,0.0001639424,0.00009469156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003497305,0.0001350718,0.00104052,0.0001555966,0.0001238672,0.0001651273,0.0002039307,0.5616503,0.02046966,0.01348322,0.004106069,0.3981169],"study_design_scores_gemma":[0.000009214932,0.00002854042,0.00009744569,0.000006910313,0.000008985515,0.00005310019,0.00001066397,0.9913736,0.003413302,0.003625176,0.001361755,0.00001132459],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006226966,0.0001078161,0.9923486,0.00006272161,0.00001783807,0.00003085757,0.00004732638,0.0006558362,0.0005021972],"genre_scores_gemma":[0.2129164,0.0002665266,0.7807159,0.0002266484,0.00005480766,0.0001376063,0.0005973726,0.000549987,0.004534644],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01064786,"threshold_uncertainty_score":0.02117175,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2918761742","doi":"10.1117/12.2510430","title":"Investigation of calibration-based projection domain dual energy decomposition CBCT technique for brain radiotherapy applications","year":2019,"lang":"en","type":"article","venue":"Medical Imaging 2019: Physics of Medical Imaging","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto; Sunnybrook Hospital","funders":"","keywords":"Imaging phantom; Materials science; Monochromatic color; Projection (relational algebra); Calibration; Optics; Computer science; Biomedical engineering; Physics; Algorithm; Medicine","authors":[{"name":"Shailaja Sajja","is_ca":true},{"name":"Mark Ruschin","is_ca":true},{"name":"Young Lee","is_ca":true},{"name":"SayedMasoud Hashemi","is_ca":true},{"name":"Håkan Nordström","is_ca":false},{"name":"Markus Eriksson","is_ca":false},{"name":"Christopher Huynh","is_ca":true},{"name":"James G. Mainprize","is_ca":true},{"name":"A. Nico","is_ca":true},{"name":"Arjun Sahgal","is_ca":true},{"name":"F Yin","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005170530433717503,"gpt":0.2654499890264285,"spread":0.260279458592711,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005481095,0.0004434532,0.0002732971,0.0005230395,0.0001051979,0.0004555421,0.0005203724,0.0004879718,0.001453661],"category_scores_gemma":[0.001130397,0.0003351219,0.0002276099,0.0005604356,0.0002264929,0.0004665781,0.0004935539,0.0004845346,0.0004892633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001999101,"about_ca_system_score_gemma":0.0004305368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003920096,"about_ca_topic_score_gemma":0.000566809,"domain_scores_codex":[0.9995694,0.00008501756,0.00001166812,0.00007147223,0.0002386328,0.00002378747],"domain_scores_gemma":[0.999529,0.0001406921,0.00006525144,0.00007608235,0.0001665374,0.00002236116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002187507,0.0000538346,0.001051652,0.0002246414,0.00002285075,0.0001362415,0.00006887244,0.006497595,0.9045398,0.0009764633,0.0002626935,0.08594655],"study_design_scores_gemma":[0.00002372992,0.0003316523,0.005215005,0.00003525559,0.00006152672,0.002103175,0.0000546516,0.1559172,0.8314483,0.0003322758,0.004437112,0.00004019654],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1543083,0.001492963,0.8410825,0.0001733728,0.00002909432,0.0001149757,0.00008472717,0.0006473563,0.002066739],"genre_scores_gemma":[0.39668,0.001368768,0.5998362,0.00008977271,0.00001922695,0.00006003025,0.0001424884,0.0001621783,0.001641337],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001453661,"threshold_uncertainty_score":0.004863024,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2918528497","doi":"10.1117/12.2512954","title":"Performance evaluation of a Se/CMOS prototype x-ray detector with the Apodized Aperture Pixel (AAP) design","year":2019,"lang":"en","type":"article","venue":"Medical Imaging 2019: Physics of Medical Imaging","topic":"Advanced Semiconductor Detectors and Materials","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Waterloo; Robarts Clinical Trials","funders":"","keywords":"Apodization; CMOS; Detector; Aperture (computer memory); Pixel; Coded aperture; Computer science; Optics; Physics; Optoelectronics; Acoustics","authors":[{"name":"Tomi F. Nano","is_ca":true},{"name":"Christopher C. Scott","is_ca":true},{"name":"Yunzhi Li","is_ca":true},{"name":"Celal Con","is_ca":true},{"name":"Karim S. Karim","is_ca":true},{"name":"Ian A. Cunningham","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01518107583611653,"gpt":0.2659059747361066,"spread":0.25072489889999,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005269591,0.0003448836,0.0005234777,0.0002714425,0.0002484887,0.0006057656,0.001658367,0.0007724856,0.00137446],"category_scores_gemma":[0.0009559595,0.0003206426,0.0002986492,0.0002795018,0.0002315994,0.0007481285,0.0003014087,0.0002990909,0.0004064937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006254501,"about_ca_system_score_gemma":0.0004217729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009022012,"about_ca_topic_score_gemma":0.0008054044,"domain_scores_codex":[0.9992829,0.00007334191,0.00003734481,0.0002086067,0.0003483921,0.00004943488],"domain_scores_gemma":[0.999202,0.0001503551,0.0001224294,0.00008290162,0.0003843046,0.00005812329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004081675,0.0001575802,0.002004808,0.0002657932,0.0000601395,0.000261634,0.000161129,0.002072863,0.9601529,0.0007211392,0.0006751743,0.03305871],"study_design_scores_gemma":[0.0001085592,0.003760708,0.006142001,0.00001558985,0.00008836239,0.001493496,0.00009565028,0.03505984,0.9470315,0.00008875383,0.006066592,0.00004893811],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8608008,0.001117811,0.1310206,0.0004156594,0.0001720161,0.0002922222,0.0002699347,0.002041927,0.00386908],"genre_scores_gemma":[0.8535022,0.0003718286,0.1410272,0.000132031,0.00002942552,0.0001292886,0.0001552145,0.0000618904,0.004590967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001658367,"threshold_uncertainty_score":0.004598022,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2922026638","doi":"10.1117/12.2512964","title":"Frequency-dependent MTF and DQE of photon-counting x-ray imaging detectors (Conference Presentation)","year":2019,"lang":"en","type":"article","venue":"Medical Imaging 2019: Physics of Medical Imaging","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Okanagan University College; University of British Columbia; Toronto Metropolitan University","funders":"","keywords":"Detective quantum efficiency; Optical transfer function; Physics; Detector; X-ray detector; Optics; Photon counting; Noise (video); Photon; Shot noise; Image quality; Computer science; Image (mathematics); Artificial intelligence","authors":[{"name":"Jesse Tanguay","is_ca":true},{"name":"Nicholas Mantella","is_ca":true},{"name":"Ian A. Cunningham","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005930047207367793,"gpt":0.2486248921419874,"spread":0.2426948449346196,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001051232,0.0003155789,0.0004293318,0.0004511255,0.0002302886,0.0008965523,0.0006523504,0.0006897824,0.002316666],"category_scores_gemma":[0.003669032,0.0002733618,0.0002980588,0.0003996996,0.0005905835,0.0009974593,0.0003531628,0.0006301053,0.0004441449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001030371,"about_ca_system_score_gemma":0.0002206985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003707308,"about_ca_topic_score_gemma":0.0002656661,"domain_scores_codex":[0.9996297,0.00006238501,0.00001231312,0.00008190764,0.000197015,0.00001672981],"domain_scores_gemma":[0.9991128,0.0006226451,0.00004973931,0.00005422929,0.0001459885,0.00001457415],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003459408,0.0001161238,0.00535251,0.0007054191,0.00009627266,0.000604786,0.0003646754,0.3170875,0.2299433,0.2723777,0.004695234,0.1683105],"study_design_scores_gemma":[0.000008447759,0.00008297098,0.001697364,0.00003946599,0.00001723632,0.000535335,0.0000309163,0.8847122,0.08238309,0.02264329,0.007817928,0.00003180538],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1234266,0.005405693,0.8473449,0.0007916133,0.000163638,0.00009349316,0.0002564244,0.0007409844,0.02177658],"genre_scores_gemma":[0.8961145,0.002794955,0.08577536,0.0001326864,0.00007803535,0.00007616184,0.0001976498,0.0001497471,0.01468092],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002316666,"threshold_uncertainty_score":0.007749975,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2918660420","doi":"10.1117/12.2508379","title":"Model of malignant breast biopsies and predictions of their WAXS energy integrated signals","year":2019,"lang":"en","type":"article","venue":"Medical Imaging 2019: Physics of Medical Imaging","topic":"Microwave Imaging and Scattering Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Laurentian University","funders":"","keywords":"Materials science; Scattering; Biopsy; Nuclear medicine; Optics; Analytical Chemistry (journal); Physics; Chemistry; Medicine; Pathology","authors":[{"name":"Robert J. LeClair","is_ca":true},{"name":"Matthew Brunet","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006750951680938346,"gpt":0.2145861491898221,"spread":0.2078351975088838,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003054913,0.000429661,0.0002405871,0.0003742224,0.0001770891,0.0004709548,0.0006489337,0.0008735154,0.001736027],"category_scores_gemma":[0.002037107,0.0003420811,0.0004534867,0.0002985531,0.0004874269,0.0004037265,0.000258075,0.0003054893,0.0002653317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008058153,"about_ca_system_score_gemma":0.000422668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005520632,"about_ca_topic_score_gemma":0.003011065,"domain_scores_codex":[0.9998475,0.00003506529,0.000005574717,0.00002302493,0.00006084883,0.00002784479],"domain_scores_gemma":[0.9994897,0.000253455,0.00008420752,0.00002700654,0.0001108127,0.00003479724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006988912,0.00001018398,0.002286004,0.00003179159,0.000007547328,0.0001423594,0.00004126582,0.9864223,0.006289119,0.002795834,0.0001214508,0.001782238],"study_design_scores_gemma":[0.000004051304,0.00001009101,0.0006169962,0.000002953514,0.000002467542,0.000053735,0.00001026723,0.9977478,0.0009757104,0.0004684763,0.0001042458,0.000003210918],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6577767,0.0006362006,0.3254805,0.000521341,0.00004909859,0.00006698985,0.0005379238,0.0005160671,0.01441516],"genre_scores_gemma":[0.9777992,0.0002472708,0.01643968,0.00006222011,0.00001046405,0.00004911434,0.000241558,0.00007215506,0.00507828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005520632,"threshold_uncertainty_score":0.01097703,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2920308520","doi":"10.1117/12.2512519","title":"Theoretical feasibility of dual-energy functional x-ray imaging of respiratory disease","year":2019,"lang":"en","type":"article","venue":"Medical Imaging 2019: Physics of Medical Imaging","topic":"Atomic and Subatomic Physics Research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Attenuation; Image resolution; Physics; Ventilation (architecture); Noise (video); Scattering; Nuclear medicine; Materials science; Optics; Medicine; Computer science","authors":[{"name":"Jesse Tanguay","is_ca":true},{"name":"Miranda Kirby","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01447088355819147,"gpt":0.3049753863994225,"spread":0.290504502841231,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001144263,0.0005313144,0.0004379141,0.00061472,0.0002210567,0.000788675,0.001028411,0.001533502,0.001411153],"category_scores_gemma":[0.003667111,0.0004630488,0.0006001078,0.0001584294,0.001070105,0.001235197,0.001135955,0.0006181903,0.000262815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005173706,"about_ca_system_score_gemma":0.0003718961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008108396,"about_ca_topic_score_gemma":0.0004297333,"domain_scores_codex":[0.9996474,0.0001358101,0.00001399595,0.00008907112,0.00007461095,0.00003923009],"domain_scores_gemma":[0.9988437,0.0007755812,0.00009590213,0.00008432534,0.0001264094,0.00007404406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000264686,0.00009364117,0.005069652,0.0002553138,0.0000675283,0.001191433,0.0002009243,0.5537739,0.02539812,0.3869261,0.001035797,0.02572289],"study_design_scores_gemma":[0.00001400199,0.0000404291,0.0007000618,0.000008906617,0.000008216467,0.0003242315,0.000009658826,0.9627932,0.0009766493,0.03466758,0.0004424377,0.00001475227],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05507085,0.0005062381,0.9378793,0.001338318,0.00003824591,0.00002673534,0.00009164651,0.0001213058,0.004927406],"genre_scores_gemma":[0.872318,0.0004547748,0.1241207,0.0002692229,0.0000911579,0.0001426538,0.00009777568,0.00003697686,0.002468666],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001533502,"threshold_uncertainty_score":0.006051481,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}