{"id":"W4300202705","doi":"","title":"Automated peroperative assessment of stents apposition from OCT pullbacks","year":2015,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Coronary Interventions and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Apposition; Medicine; Radiology; Computer science; Anatomy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009428657,0.0007042231,0.0005444714,0.003781983,0.0002833955,0.001185221,0.0004176942,0.001320983,0.002390012],"category_scores_gemma":[0.002985233,0.0005296761,0.0003266883,0.0007577759,0.0003121345,0.0009031137,0.0006992682,0.0006218677,0.0008783143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001657838,"about_ca_system_score_gemma":0.0002607967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008264615,"about_ca_topic_score_gemma":0.00150264,"domain_scores_codex":[0.9993529,0.00013522,0.00007767246,0.0000822459,0.0002584452,0.00009363799],"domain_scores_gemma":[0.9978474,0.0009461209,0.0002553931,0.0002126168,0.000556554,0.0001818121],"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":[0.01035787,0.0003764843,0.2389307,0.0009991442,0.000329649,0.01243673,0.0008551073,0.00146986,0.5285645,0.0005092499,0.00195027,0.2032205],"study_design_scores_gemma":[0.0001505277,0.00167279,0.7603673,0.0003898156,0.000720975,0.05189441,0.0009102335,0.0284645,0.1501134,0.0007250761,0.0043402,0.0002508246],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.962255,0.004327567,0.02645334,0.000207293,0.0001508975,0.0001687789,0.0009119316,0.0006482346,0.004877026],"genre_scores_gemma":[0.9788833,0.001690782,0.01709207,0.0001717151,0.0001825879,0.0000867661,0.0004179698,0.0001111538,0.001363688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003781983,"threshold_uncertainty_score":0.007995427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02541507686120911,"score_gpt":0.2958247116827624,"score_spread":0.2704096348215533,"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."}}