{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":3,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":3,"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":"7a0cb71a0266","filters":{"venue":"Discover Imaging."}},"results":[{"id":"W4410732841","doi":"10.1007/s44352-025-00010-5","title":"Multiplexed confocal FLIM for dynamic molecular imaging in live cells","year":2025,"lang":"en","type":"article","venue":"Discover Imaging.","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Canada Foundation for Innovation","keywords":"Confocal; Confocal microscopy; Fluorescence-lifetime imaging microscopy; Multiplexing; Biology; Fluorescence; Computer science; Optics; Cell biology; Physics","authors":[{"name":"Morgan Richards","is_ca":true},{"name":"Nikolina Malic","is_ca":true},{"name":"Elizabeth J. Osterlund","is_ca":true},{"name":"Andrea Rhikkaella Buendia","is_ca":true},{"name":"Laura Polga","is_ca":true},{"name":"Ray Truant","is_ca":true},{"name":"Qiyin Fang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.002423404480577704,"gpt":0.2879015347317282,"spread":0.2854781302511505,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001143861,0.000223903,0.0001810264,0.0001085269,0.00005369351,0.00005490681,0.0002857135,0.00006440499,0.000004910421],"category_scores_gemma":[0.00007991985,0.0002409169,0.0001172565,0.0001087585,0.0001698235,0.0000156762,0.0001825907,0.0001139299,0.000004545669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006483351,"about_ca_system_score_gemma":0.000109682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006347797,"about_ca_topic_score_gemma":0.00003711915,"domain_scores_codex":[0.9987176,0.00003101984,0.0002483341,0.0005330524,0.00007585188,0.0003941445],"domain_scores_gemma":[0.9994086,0.00001968491,0.00006218753,0.0003960496,0.00007312476,0.00004037467],"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":[0.00009236929,0.00005689905,0.006293001,0.00002957588,0.00001128961,0.00001066803,0.0000450814,0.00008482068,0.9873139,0.0001648198,0.001454801,0.004442749],"study_design_scores_gemma":[0.0009162302,0.00002443882,0.0008388549,0.00007790247,0.0000146949,0.000002672814,0.000181015,0.004354211,0.9835483,0.0007914058,0.008973065,0.0002771757],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1690842,0.003208171,0.823741,0.000903745,0.0003791068,0.001295896,0.0001689677,0.00009271856,0.001126261],"genre_scores_gemma":[0.9613554,0.00006985362,0.03608688,0.001641515,0.00002190767,0.0001506159,0.0001980028,0.00004114043,0.0004346321],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7922713,"threshold_uncertainty_score":0.9824305,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4416205584","doi":"10.1007/s44352-025-00019-w","title":"Automated endometrial segmentation, thickness measurement and pattern prediction on uterine ultrasound images","year":2025,"lang":"en","type":"article","venue":"Discover Imaging.","topic":"Gynecological conditions and treatments","field":"Medicine","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 Saskatchewan","funders":"","keywords":"Segmentation; Pattern recognition (psychology); Ultrasound; Confusion matrix; Intersection (aeronautics); Confusion; Orientation (vector space); Automated method; Image segmentation","authors":[{"name":"Hannah Pierson","is_ca":false},{"name":"Zachary Shand","is_ca":false},{"name":"Jesse Invik","is_ca":false},{"name":"Yang Wang","is_ca":false},{"name":"Vishwajeet Ohal","is_ca":false},{"name":"Kane Smith","is_ca":false},{"name":"Devanshi Patel","is_ca":false},{"name":"Roger A. Pierson","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01713167995863761,"gpt":0.3043185376192895,"spread":0.2871868576606518,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000137349,0.0001366631,0.0001720841,0.0001708118,0.0001156939,0.00008092763,0.0000332934,0.00002863896,0.0001626919],"category_scores_gemma":[0.0002091451,0.0001018713,0.00004692346,0.0001972695,0.00006394728,0.0001330768,0.00002571976,0.00008530875,0.00001817568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001460229,"about_ca_system_score_gemma":0.00004737017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000677721,"about_ca_topic_score_gemma":0.00000431575,"domain_scores_codex":[0.9990959,0.00004184375,0.0001903404,0.0002614944,0.0002620733,0.0001483973],"domain_scores_gemma":[0.9995393,0.00009951539,0.00004636746,0.0001552538,0.0001045525,0.00005503717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001442,0.0008881715,0.9379476,0.0001242438,0.0003799764,0.00007403223,0.00009455071,0.00001006689,0.03060252,0.0001286796,0.007591655,0.02201434],"study_design_scores_gemma":[0.00512614,0.0001947222,0.9846575,0.0001133414,0.0001952679,0.00001605423,0.00009155142,0.0002060795,0.008398664,0.0001918447,0.0007244525,0.00008434794],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9816847,0.0003390819,0.006268439,0.002393653,0.0006883463,0.0009566111,0.0003327744,0.000421292,0.00691508],"genre_scores_gemma":[0.9981993,0.00002987455,0.0001516674,0.0008548722,0.0000289384,0.00007619197,0.0001987256,0.000008352821,0.00045203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04670997,"threshold_uncertainty_score":0.4154193,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4414120335","doi":"10.1007/s44352-025-00015-0","title":"Replacing experts with student raters for assessing knee recess distension in ultrasound images of adult patients","year":2025,"lang":"en","type":"article","venue":"Discover Imaging.","topic":"Shoulder Injury and Treatment","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":"Dalhousie University; University of Toronto","funders":"","keywords":"Intraclass correlation; Ultrasound; Segmentation; Consistency (knowledge bases); Expert opinion; Medical imaging; Pearson product-moment correlation coefficient","authors":[{"name":"R. Fallahpour","is_ca":true},{"name":"L. H. Radigan","is_ca":true},{"name":"Mauro Mendez","is_ca":true},{"name":"Mohamed Nashnoush","is_ca":true},{"name":"Prudencia N. M. Tyrrell","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008814316204384057,"gpt":0.3291198956246932,"spread":0.3203055794203092,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008221489,0.0001677721,0.0003055396,0.0001407962,0.00005908927,0.00005920595,0.00005572322,0.00002555117,0.000004375721],"category_scores_gemma":[0.0001097939,0.0001184981,0.00006669714,0.0001813551,0.00007391482,0.0003031601,0.00003131619,0.00006706733,4.035659e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000130654,"about_ca_system_score_gemma":0.00007752804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001221305,"about_ca_topic_score_gemma":0.0000167625,"domain_scores_codex":[0.9989198,0.00002919278,0.0002951614,0.0003333444,0.0002143127,0.0002082007],"domain_scores_gemma":[0.9992709,0.0001467069,0.0001030647,0.000280274,0.0001596418,0.00003948538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007323613,0.0007056463,0.9883024,0.000183606,0.00009271672,0.00002413944,0.001088067,0.00001623117,0.00390679,0.00003608429,0.0006284585,0.004283553],"study_design_scores_gemma":[0.008586307,0.0002541603,0.8705273,0.001572087,0.0003479496,0.000009223134,0.006263754,0.00005679185,0.1120016,0.00007549212,0.000114029,0.0001912486],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951148,0.000175719,0.001413271,0.0004858816,0.0002083949,0.0007305182,0.00002038292,0.00002216602,0.001828884],"genre_scores_gemma":[0.998185,0.0000132821,0.0007649523,0.0004738631,0.00001570664,0.00008708314,0.0001085999,0.00001854528,0.0003329918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.117775,"threshold_uncertainty_score":0.4832214,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}