{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":2,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":2,"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":"e9232f6f335f","filters":{"venue":"ICTACT Journal on Image and Video Processing"}},"results":[{"id":"W2790200737","doi":"10.21917/ijivp.2017.0220","title":"AUTOMATED CORPUS CALLOSUM SEGMENTATION IN MIDSAGITTAL BRAIN MR IMAGES","year":2017,"lang":"en","type":"article","venue":"ICTACT Journal on Image and Video Processing","topic":"Medical Image Segmentation Techniques","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Initialization; Segmentation; Artificial intelligence; Computer science; Corpus callosum; Computer vision; Image segmentation; Pattern recognition (psychology); Active contour model; Magnetic resonance imaging; Boundary (topology); Mathematics; Anatomy; Medicine","authors":[{"name":"Yue Li","is_ca":false},{"name":"Huiquan Wang","is_ca":true},{"name":"Nizam Ahmed","is_ca":false},{"name":"Mrinal Mandal","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01920980337350721,"gpt":0.3390254949088623,"spread":0.3198156915353551,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0008369414,0.0001933523,0.0002252838,0.0002664679,0.0007269687,0.003281504,0.0006952267,0.00007174364,0.00001973037],"category_scores_gemma":[0.0005407679,0.0001648171,0.00004730721,0.0001290142,0.0001562038,0.004496531,0.0001621075,0.0004345016,0.00001174638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009534657,"about_ca_system_score_gemma":0.0001334495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002775223,"about_ca_topic_score_gemma":0.000004309117,"domain_scores_codex":[0.9983047,0.000121868,0.0004568205,0.0003268868,0.0004588286,0.0003308665],"domain_scores_gemma":[0.9986812,0.0001037357,0.0005533913,0.0002985588,0.0001538303,0.0002092559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003348048,0.0001254525,0.003047403,0.00008308412,0.00001295976,0.0007188831,0.00100083,0.00000252038,0.2233704,0.00004707364,0.004758952,0.7667989],"study_design_scores_gemma":[0.004323207,0.0006682798,0.08204489,0.001902167,0.00002687587,0.001358761,0.0002931505,0.06150334,0.8425304,0.003841772,0.0005924421,0.0009146959],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07472204,0.0003857357,0.9146168,0.007847396,0.0002835284,0.0002386962,0.000002873537,0.0004774932,0.001425451],"genre_scores_gemma":[0.821643,0.0001713543,0.1751177,0.002638127,0.0001535942,0.00001406871,0.000003021666,0.00002394068,0.0002351567],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7658842,"threshold_uncertainty_score":0.9977532,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2183035990","doi":"10.21917/ijivp.2013.0084","title":"COMPUTER-AIDED DETECTION OF ACINAR SHADOWS IN CHEST RADIOGRAPHS","year":2013,"lang":"en","type":"article","venue":"ICTACT Journal on Image and Video Processing","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; CAD; Artificial intelligence; Local binary patterns; Computer-aided diagnosis; Histogram; Computer vision; Radiography; Economic shortage; Histogram of oriented gradients; Radiology; Medicine; Pattern recognition (psychology); Image (mathematics); Engineering drawing","authors":[{"name":"Tao Xu","is_ca":true},{"name":"Irene Cheng","is_ca":true},{"name":"Richard Long","is_ca":true},{"name":"Mrinal Mandal","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01818947678574119,"gpt":0.2963067612286449,"spread":0.2781172844429037,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003762257,0.0001691369,0.0003780703,0.0006226938,0.0001326931,0.0001914064,0.00007551493,0.00008512884,0.00004002008],"category_scores_gemma":[0.0002013951,0.0001395894,0.00009664091,0.0004393211,0.00007535089,0.0006406522,0.00002550411,0.0004738172,0.000007403151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009712361,"about_ca_system_score_gemma":0.0001116674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009653558,"about_ca_topic_score_gemma":0.000005759389,"domain_scores_codex":[0.9987526,0.00005985356,0.0004642916,0.0002135778,0.0002601287,0.0002495445],"domain_scores_gemma":[0.9990129,0.0001752579,0.0002913959,0.0001277844,0.0002199277,0.0001727334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002455144,0.000459038,0.02501571,0.0008259875,0.00004547405,0.0001881026,0.001193013,0.00002980104,0.3010671,0.000002012585,0.0007300844,0.6701981],"study_design_scores_gemma":[0.006414572,0.002295828,0.7504892,0.00888304,0.0002394826,0.002077582,0.0004659575,0.01753314,0.2053434,0.0005859503,0.005106021,0.0005658576],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887256,0.0008789098,0.005046795,0.004878093,0.0001092361,0.0002328433,6.607586e-7,0.00003391008,0.00009397904],"genre_scores_gemma":[0.9932405,0.0002832211,0.003529912,0.002655993,0.0002408994,0.00001216774,6.781751e-7,0.00002476131,0.00001191849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7254735,"threshold_uncertainty_score":0.5692289,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}