{"id":"W7018912111","doi":"","title":"Évaluation de sténoses en utilisant des modèles vidéos appliqués à des angiographies coronariennes","year":2023,"lang":"fr","type":"other","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"State agency; Coronary heart disease; Congenital disease","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001501118,0.001449899,0.0009561732,0.001951026,0.0003950179,0.002405506,0.0008082758,0.001987014,0.002450475],"category_scores_gemma":[0.005729898,0.0004498846,0.00132196,0.000857461,0.0004287155,0.0008787012,0.000481479,0.0009150922,0.0007105231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009967677,"about_ca_system_score_gemma":0.001178018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02288763,"about_ca_topic_score_gemma":0.01367029,"domain_scores_codex":[0.9993617,0.0001400863,0.0000541207,0.0001625687,0.0002106104,0.0000709358],"domain_scores_gemma":[0.9983482,0.0008835401,0.0001205798,0.00009823528,0.0004792985,0.00007018075],"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":[0.001791201,0.000424617,0.0159664,0.0008289702,0.0004776073,0.0006975665,0.0002611759,0.6141646,0.04283587,0.001619003,0.006236625,0.3146964],"study_design_scores_gemma":[0.00002149998,0.0001271817,0.003401776,0.00005038827,0.00005676035,0.0001156193,0.00003769929,0.9880876,0.006403438,0.0004586581,0.001218027,0.00002132587],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4905431,0.00567583,0.4859579,0.001360684,0.0009641621,0.0004977754,0.002431075,0.007082842,0.005486562],"genre_scores_gemma":[0.8580216,0.001766613,0.1335074,0.0003210909,0.0001239888,0.0002224575,0.002089371,0.0002722787,0.003675209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02288763,"threshold_uncertainty_score":0.0455088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02676773300412157,"score_gpt":0.2583338949720415,"score_spread":0.2315661619679199,"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."}}