{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":5,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":5,"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"},"query_hash":"b87464ba6abe","filters":{"venue":"1996 IEEE Nuclear Science Symposium. Conference Record"}},"results":[{"id":"W1678065162","doi":"10.1109/nssmic.1996.591410","title":"A more physical approach to model the surface treatment of scintillation counters and its implementation into DETECT","year":2002,"lang":"en","type":"article","venue":"1996 IEEE Nuclear Science Symposium. Conference Record","topic":"Calibration and Measurement Techniques","field":"Engineering","cited_by":168,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"TRIUMF","funders":"","keywords":"Scintillation; Parametrization (atmospheric modeling); Monte Carlo method; Photon; Surface roughness; Flexibility (engineering); Optics; Detector; Reflector (photography); Physics; Photon counting; Range (aeronautics); Computer science; Surface (topology); Electronic engineering; Aerospace engineering; Engineering; Radiative transfer; Mathematics; Geometry","retraction":null,"screen_n_in":null,"score":{"opus":0.04214478848547271,"gpt":0.2739919241400693,"spread":0.2318471356545966,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001612938,0.0001411446,0.000148168,0.00009453459,0.0001521928,0.0001159065,0.0001869469,0.00002989374,0.00001384994],"category_scores_gemma":[0.000005180585,0.0001084459,0.00003621974,0.0003393833,0.0001259111,0.0003743448,0.00002047746,0.00004839719,0.00000791022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001515954,"about_ca_system_score_gemma":0.00003076938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008676458,"about_ca_topic_score_gemma":0.00003168924,"domain_scores_codex":[0.9990096,0.00001775954,0.0001788266,0.0002517831,0.0003397111,0.000202334],"domain_scores_gemma":[0.9995466,0.00001340481,0.00004521587,0.0001914884,0.0001056527,0.00009761914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008155684,0.00004432758,0.0000702406,0.00002207055,0.000009734827,1.109947e-7,0.01076462,0.02477869,0.9354731,0.0006027187,0.0001891489,0.02803712],"study_design_scores_gemma":[0.0001448393,0.0001527256,0.0001305947,0.00001235856,0.00001231454,0.00000162139,0.0004319064,0.9484023,0.05027408,0.00004391377,0.0002756065,0.0001177548],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914938,0.00001078654,0.00599685,0.0002730311,0.00008472563,0.0005093294,0.000006010359,0.0001571085,0.001468355],"genre_scores_gemma":[0.99446,0.0001945233,0.005221722,0.00004283283,0.00002101774,0.00001966404,6.566447e-7,0.00001540136,0.00002419532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9236236,"threshold_uncertainty_score":0.4422297,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2117155488","doi":"10.1109/nssmic.1996.587918","title":"Evaluation of the ICS and DEW scatter correction methods for low statistical content scans in 3D PET","year":2002,"lang":"en","type":"article","venue":"1996 IEEE Nuclear Science Symposium. Conference Record","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":"TRIUMF","funders":"","keywords":"Normalization (sociology); Imaging phantom; Detector; Statistical noise; Contrast (vision); Figure of merit; Computer science; Image contrast; Convolution (computer science); Artificial intelligence; Optics; Mathematics; Physics; Computer vision; Statistics; Artificial neural network","retraction":null,"screen_n_in":null,"score":{"opus":0.1139555072961711,"gpt":0.3911946630578351,"spread":0.277239155761664,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002686251,0.0001055616,0.0002144969,0.0001084861,0.0001474958,0.00004689019,0.0002009229,0.00004632442,0.0001792707],"category_scores_gemma":[0.0006039699,0.00007591261,0.00003849211,0.0003755231,0.000826341,0.0001213165,0.00004720997,0.0001893327,0.000005088552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00014544,"about_ca_system_score_gemma":0.0002214516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002614411,"about_ca_topic_score_gemma":0.00004631221,"domain_scores_codex":[0.9983961,0.0001470746,0.0003149271,0.0003483053,0.0005544595,0.0002391628],"domain_scores_gemma":[0.9987002,0.0001773075,0.0001242782,0.0002926279,0.0005701368,0.0001354739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003032868,0.0002475122,0.003220132,0.00007509527,0.00001024557,6.287785e-7,0.000508018,0.000009383399,0.3662749,0.002062888,0.002116362,0.6254445],"study_design_scores_gemma":[0.0005292593,0.0001645439,0.007652374,0.0002301627,0.0000937988,0.00003742361,0.0001110296,0.9855893,0.004006292,0.0006638832,0.0008287336,0.00009322492],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8591263,0.00001350917,0.1289125,0.00746621,0.0007259839,0.001839095,0.00001536008,0.00005854983,0.001842465],"genre_scores_gemma":[0.8508167,0.0000902586,0.1485,0.000366391,0.00003055435,0.00008317413,0.000001251472,0.00001036883,0.0001013045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9855799,"threshold_uncertainty_score":0.3095627,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4240166239","doi":"10.1109/nssmic.1996.591619","title":"A count rate model for PET and its application to an LSO HR PLUS scanner","year":2002,"lang":"en","type":"article","venue":"1996 IEEE Nuclear Science Symposium. Conference Record","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":"TRIUMF","funders":"","keywords":"Coincidence; Scanner; Dead time; Detector; Physics; Noise (video); Imaging phantom; Data acquisition; Optics; Computer science; Nuclear medicine; Computer vision","retraction":null,"screen_n_in":null,"score":{"opus":0.05062562066179019,"gpt":0.3175071615307943,"spread":0.2668815408690042,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006151583,0.000189603,0.0002744996,0.0001705303,0.000373003,0.0001512737,0.0004308432,0.00006388978,0.00008024611],"category_scores_gemma":[0.00008675864,0.0001673915,0.00004381095,0.0004510193,0.0003223859,0.0003647344,0.0000739621,0.0001762907,0.00009646444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001391454,"about_ca_system_score_gemma":0.0002088192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001020249,"about_ca_topic_score_gemma":0.00002304161,"domain_scores_codex":[0.9980984,0.00001771529,0.0002906952,0.0007518792,0.0003778937,0.0004634153],"domain_scores_gemma":[0.9982156,0.00003492204,0.00009701597,0.0005439994,0.0004214876,0.0006869989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007578385,0.0002015006,0.00005877059,0.0000851137,0.000007309464,0.000003083113,0.001098041,0.0001738851,0.9497021,0.01410016,0.005819395,0.02867485],"study_design_scores_gemma":[0.0003814274,0.0002952421,0.00009562643,0.0000759621,0.00002980263,0.00003710555,0.00006001931,0.9862627,0.001625456,0.0005061115,0.0104178,0.0002126751],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8887653,0.000007924826,0.08388151,0.02226859,0.0001295844,0.002337571,0.00004036482,0.000371549,0.002197613],"genre_scores_gemma":[0.9371979,0.0001935503,0.05888378,0.002371747,0.0001003022,0.0003143919,0.000004592357,0.00003072524,0.0009029877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9860889,"threshold_uncertainty_score":0.6826028,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2144746305","doi":"10.1109/nssmic.1996.591697","title":"Energy dependence of nonstationary subtraction-restoration scatter correction in high resolution PET","year":2002,"lang":"en","type":"article","venue":"1996 IEEE Nuclear Science Symposium. Conference Record","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Sherbrooke","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Medical Research Council Canada","keywords":"Discriminator; Detector; Energy (signal processing); Physics; Optics; Imaging phantom; Background subtraction; Subtraction; Convolution (computer science); Image resolution; Computer science; Mathematics; Pixel; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.027247340683865,"gpt":0.2769999112951766,"spread":0.2497525706113116,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041779,0.0001405409,0.0002208852,0.000412807,0.0001863662,0.00005174661,0.0002516712,0.00007739082,0.0004904792],"category_scores_gemma":[0.0000913105,0.0001379883,0.0000488333,0.0009628852,0.0005597885,0.0006125725,0.0000355447,0.0002640191,0.00006464241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002328424,"about_ca_system_score_gemma":0.0002003591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002388615,"about_ca_topic_score_gemma":0.0001753225,"domain_scores_codex":[0.9981389,0.00005060857,0.0004450851,0.0004640078,0.0006075255,0.0002938861],"domain_scores_gemma":[0.9987966,0.00006907544,0.000221804,0.0003904251,0.0003514075,0.0001706982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008472661,0.0005552054,0.00740243,0.00004382472,0.000007214115,0.00002037849,0.0003713396,0.00009297783,0.929318,0.005643482,0.01060007,0.04586031],"study_design_scores_gemma":[0.000573546,0.0003891979,0.02286645,0.0003772094,0.00003141356,0.0002271786,0.0001830509,0.9595014,0.01100567,0.000689415,0.003877654,0.000277748],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9717184,0.000007150133,0.01389364,0.00720842,0.0008679102,0.0003646076,0.000006534395,0.0001667867,0.005766512],"genre_scores_gemma":[0.9789668,0.0003856236,0.0197233,0.000321596,0.00008131735,0.00003992247,0.000009429037,0.00001484424,0.0004571501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9594085,"threshold_uncertainty_score":0.5627,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4253029326","doi":"10.1109/nssmic.1996.587982","title":"Analytical modeling of PET imaging with correlated functional and structural images","year":2002,"lang":"en","type":"article","venue":"1996 IEEE Nuclear Science Symposium. Conference Record","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Medical Research Council","keywords":"Imaging phantom; Correction for attenuation; Attenuation; Computer science; Projection (relational algebra); Iterative reconstruction; Partial volume; Artificial intelligence; Computer vision; Detector; Image processing; Image (mathematics); Physics; Algorithm; Optics","retraction":null,"screen_n_in":null,"score":{"opus":0.03011326739160681,"gpt":0.2723021795913049,"spread":0.2421889121996981,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002265607,0.0001545229,0.0002597994,0.0001773323,0.0002197647,0.00008264931,0.0001924499,0.00003294101,0.0004581833],"category_scores_gemma":[0.00005208709,0.0001162357,0.0000408694,0.0004756183,0.001234745,0.0002957974,0.00006162957,0.0002911763,0.0000148747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004687052,"about_ca_system_score_gemma":0.0001159704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001573513,"about_ca_topic_score_gemma":0.000002152015,"domain_scores_codex":[0.9984241,0.00001531029,0.0002813182,0.0004510044,0.0005105456,0.0003177407],"domain_scores_gemma":[0.9989231,0.00003412016,0.00009421256,0.0003117281,0.0003408575,0.0002959794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003633501,0.0004215266,0.06221728,0.0002682993,0.0001034928,0.0001478279,0.001115908,0.0006782426,0.8518053,0.01598583,0.005186677,0.06170632],"study_design_scores_gemma":[0.0003762169,0.0001363247,0.001704727,0.0001544752,0.00005608125,0.0004350612,0.0001192876,0.9961464,0.0003601133,0.0002284949,0.0001408032,0.0001420202],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9818035,0.00001034189,0.008384438,0.004663464,0.00009255859,0.0002358645,0.00000605695,0.0001427923,0.004661004],"genre_scores_gemma":[0.9719492,0.0001036984,0.0275379,0.0002079958,0.0000420553,0.000005903665,0.000002195074,0.00001600738,0.0001350236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9954681,"threshold_uncertainty_score":0.5016786,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}