{"id":"W4387698504","doi":"10.1016/j.jacc.2023.09.352","title":"TCT-344 Impact of Age and Sex on TAVR Adoption and Outcomes in France","year":2023,"lang":"en","type":"article","venue":"Journal of the American College of Cardiology","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Medicine; Internal medicine; Demography","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":[0.001190276,0.0002392154,0.000376225,0.00170617,0.000536086,0.002066499,0.0004811968,0.0009190352,0.005300364],"category_scores_gemma":[0.00475242,0.000192947,0.001130778,0.001501575,0.0003785751,0.0005092004,0.000509032,0.001213469,0.0006473637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00284053,"about_ca_system_score_gemma":0.004037176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1930126,"about_ca_topic_score_gemma":0.1372278,"domain_scores_codex":[0.9986458,0.0003184224,0.000102683,0.0002298102,0.0002158198,0.0004873812],"domain_scores_gemma":[0.9958448,0.000989031,0.001258669,0.0001597858,0.0008220174,0.0009257305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001534492,0.0001195263,0.9896577,0.00001958241,0.0001625178,0.0002569435,0.0003072766,0.0003487573,0.000115797,0.0003801966,0.001365548,0.007112557],"study_design_scores_gemma":[0.000009214271,0.00008673629,0.9971813,0.00002704186,0.00004439822,0.0001403994,0.0003545832,0.0003254335,0.00003297845,0.00004771008,0.00173805,0.00001216117],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932876,0.001117351,0.0001420084,0.00103056,0.00005048774,0.000009552393,0.001423093,0.00002345085,0.00291596],"genre_scores_gemma":[0.9958588,0.0004417463,0.0000911882,0.0001699049,0.00004625258,0.00001284483,0.001196965,0.00001622408,0.002165959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1930126,"threshold_uncertainty_score":0.3837782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01250632386915416,"score_gpt":0.2904723571920156,"score_spread":0.2779660333228615,"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."}}