{"id":"W4402736042","doi":"10.1016/j.jcin.2024.08.018","title":"Thinking Forward . . . and Backward","year":2024,"lang":"en","type":"editorial","venue":"JACC: Cardiovascular Interventions","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Computer science","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","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.0006733141,0.0005443138,0.001488671,0.000359909,0.0001676105,0.0003366752,0.0001782022,0.0006833124,0.000204658],"category_scores_gemma":[0.0004466212,0.0004843828,0.0364569,0.0002493836,0.00008987821,0.0001059928,0.0004188425,0.0009484298,0.0005869601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003102397,"about_ca_system_score_gemma":0.00024276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001575354,"about_ca_topic_score_gemma":0.000009274136,"domain_scores_codex":[0.9963422,0.0001229537,0.0005752672,0.0009662933,0.001580482,0.0004128117],"domain_scores_gemma":[0.9978875,0.000141114,0.00009959937,0.001192043,0.000354138,0.0003256011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004210341,0.0001456326,0.0002700059,0.003719738,0.06555226,0.000374704,0.00005441074,0.000003983737,3.203374e-7,0.00009589574,0.9212463,0.008494654],"study_design_scores_gemma":[0.001671173,0.0001846753,0.001567114,0.004674135,0.05540474,0.0000589665,0.00007255127,0.000004975229,0.000002354215,0.0005771323,0.935405,0.0003771923],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0004681121,0.2477256,0.0004689521,0.0001397904,0.7423638,0.001055621,0.001311771,0.0003222968,0.006144141],"genre_scores_gemma":[0.0118554,0.01136725,0.0005595859,0.0000676331,0.9565083,0.0006033422,0.005283169,0.0003951387,0.01336013],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.2363583,"threshold_uncertainty_score":0.9997608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01636424336440281,"score_gpt":0.3522822043517118,"score_spread":0.335917960987309,"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."}}