{"id":"W4255562676","doi":"10.1016/j.cardfail.2005.08.053","title":"TBA","year":2005,"lang":"en","type":"article","venue":"Journal of Cardiac Failure","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto General Hospital; University Health Network","funders":"","keywords":"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007135378,0.00009299391,0.0002491189,0.000132478,0.00006315108,0.00009368961,0.0006791909,0.00006566514,0.00002787682],"category_scores_gemma":[0.0001359757,0.0000748367,0.0002445957,0.000221871,0.00001520742,0.0005669495,0.00009018203,0.0005114709,0.00006951873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007165591,"about_ca_system_score_gemma":0.0001503158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004898944,"about_ca_topic_score_gemma":0.000002654102,"domain_scores_codex":[0.9987047,0.0001626229,0.0003477145,0.0001150778,0.0004678841,0.0002019581],"domain_scores_gemma":[0.9988585,0.0001001462,0.0002850663,0.0003269064,0.0002678773,0.0001615775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001748084,0.00006317446,0.03210161,0.00006414529,0.0001534989,0.00008103353,0.0025457,0.005375148,0.001067415,0.02943168,0.2250416,0.7040575],"study_design_scores_gemma":[0.00015445,0.0001101846,0.01060594,0.00003676425,0.000009699624,0.0002093494,0.00003354328,0.001805577,0.0004206568,0.0003943393,0.9861085,0.0001109313],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2537947,0.01735167,0.2379547,0.4498169,0.01008223,0.0005391915,0.000008788246,0.0004497448,0.03000206],"genre_scores_gemma":[0.8561547,0.00005884393,0.1409142,0.0007796527,0.001790573,9.35798e-7,2.351739e-7,0.00001038819,0.0002904581],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7610669,"threshold_uncertainty_score":0.3051752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009005693202561796,"score_gpt":0.2714306060063194,"score_spread":0.2624249128037576,"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."}}