{"id":"W1770715295","doi":"10.1016/j.cjca.2015.09.010","title":"Sex Profile and Risk Assessment With Cardiopulmonary Exercise Testing in Heart Failure: Propensity Score Matching for Sex Selection Bias","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Cardiovascular and exercise physiology","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Propensity score matching; Selection (genetic algorithm); Selection bias; Matching (statistics); Internal medicine; Heart failure; Cardiology; Machine learning; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001523053,0.0001753275,0.001202357,0.0003072398,0.0001132795,0.00002295189,0.00006335874,0.0001483285,0.000001375861],"category_scores_gemma":[0.0002211325,0.000139019,0.0002001582,0.0002023568,0.0001181936,0.0001105281,0.00001739572,0.0004952812,0.000001085221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003125265,"about_ca_system_score_gemma":0.002230119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003965999,"about_ca_topic_score_gemma":0.001532827,"domain_scores_codex":[0.9986039,0.0002646577,0.0003317615,0.000249291,0.0001527938,0.0003975875],"domain_scores_gemma":[0.9984924,0.0000902123,0.0001486639,0.0001693961,0.000489696,0.0006096038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006642465,0.000005771512,0.9741261,0.00009467608,0.0003444438,0.0003531635,0.0003240116,0.01172959,0.001006327,0.000004001823,0.00407185,0.007275815],"study_design_scores_gemma":[0.004592394,0.002014143,0.9632763,0.0004720425,0.001005398,0.01865157,0.001410921,0.0004472351,0.0008833356,0.0004979811,0.006388966,0.0003597333],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953248,0.0008107556,0.002283019,0.0002792557,0.0001673933,0.0006364986,0.00001458152,0.000009865507,0.0004738203],"genre_scores_gemma":[0.9921764,0.00003443407,0.007019366,0.00004858183,0.0006238734,0.000030031,0.00001290216,0.00002844566,0.00002599296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0182984,"threshold_uncertainty_score":0.599543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05203789332874231,"score_gpt":0.2616983270144584,"score_spread":0.2096604336857161,"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."}}