{"id":"W4401060447","doi":"10.1016/j.hlc.2024.06.910","title":"Unlocking Precision Medicine: A Fully Automated Multi-Modal CTCA Based System For Risk Prediction","year":2024,"lang":"en","type":"article","venue":"Heart Lung and Circulation","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; Western University; McMaster University; University of Alberta","funders":"","keywords":"Medicine; Modal; Internal medicine","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":[0.0008122428,0.0009244032,0.001077406,0.00176294,0.0003374479,0.001139448,0.000970964,0.001719916,0.006644115],"category_scores_gemma":[0.002625983,0.0005289781,0.0005510461,0.0007664998,0.000157417,0.0005801318,0.001448697,0.0008648225,0.003779756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004058493,"about_ca_system_score_gemma":0.0008528937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003196612,"about_ca_topic_score_gemma":0.006003855,"domain_scores_codex":[0.9995167,0.00007247745,0.00004365386,0.0001671613,0.0001644649,0.00003556071],"domain_scores_gemma":[0.999138,0.0003687907,0.0001066439,0.0001153544,0.0001815799,0.00008961339],"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":[0.001928337,0.0003881179,0.02714894,0.0005385231,0.0005678902,0.0007213351,0.0001358258,0.01222457,0.07633303,0.001513435,0.04982798,0.8286721],"study_design_scores_gemma":[0.0004633699,0.0008439447,0.04239313,0.0001637505,0.0004955554,0.002603013,0.00006581419,0.8401581,0.06740682,0.008334986,0.03678799,0.0002835275],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0611546,0.003295888,0.8164345,0.001179814,0.0004165433,0.0004897144,0.01342951,0.09863871,0.004960769],"genre_scores_gemma":[0.5055301,0.001000734,0.4707698,0.002575885,0.0005526389,0.0006478563,0.008731201,0.001440437,0.008751397],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006644115,"threshold_uncertainty_score":0.02222675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01858240179597247,"score_gpt":0.3172465096875021,"score_spread":0.2986641078915296,"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."}}