{"id":"W3092065674","doi":"10.1016/j.media.2020.101826","title":"Automatic vertebrae recognition from arbitrary spine MRI images by a category-Consistent self-calibration detection framework","year":2020,"lang":"en","type":"article","venue":"Medical Image Analysis","topic":"Medical Imaging and Analysis","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Discriminative model; Artificial intelligence; Computer science; Bounding overwatch; Pattern recognition (psychology); Calibration; Computer vision; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002935736,0.0003125439,0.0006851145,0.0002389875,0.000109126,0.0001679694,0.0002688682,0.00027449,0.005799628],"category_scores_gemma":[0.0008019517,0.0002866643,0.0004741707,0.001951,0.0001062697,0.0003706402,0.00004791561,0.0006880908,0.0003072109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007627541,"about_ca_system_score_gemma":0.00004022078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002246624,"about_ca_topic_score_gemma":0.00001959895,"domain_scores_codex":[0.9973018,0.0001787343,0.0007102106,0.0005113393,0.000936593,0.0003612815],"domain_scores_gemma":[0.9986115,0.0001839844,0.0001010198,0.0003246939,0.00007025627,0.0007086197],"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":[0.00002896663,0.0008971077,0.004235332,0.001181337,0.03027545,0.0009158029,0.003379068,0.001463087,0.07921731,0.00002663484,0.1229956,0.7553843],"study_design_scores_gemma":[0.0003064274,0.00002369627,0.0004107546,0.00005717319,0.003567245,0.00000226523,0.0001278653,0.9771121,0.01691141,0.0006044537,0.0005305377,0.0003460748],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0756423,0.0008521377,0.9149505,0.006583984,0.0001265451,0.0001062181,0.00005872859,0.00132791,0.0003516827],"genre_scores_gemma":[0.9665984,0.0006454803,0.02703772,0.003935801,0.0005163494,0.0000511899,0.001131315,0.00006013338,0.00002360631],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.975649,"threshold_uncertainty_score":0.9999586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006815777504003528,"score_gpt":0.2115675228620812,"score_spread":0.2047517453580777,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}