{"id":"W4255345904","doi":"10.21203/rs.3.rs-22300/v1","title":"Inference about Time-dependent Prognostic Accuracy Measures in the Presence of Competing Risks","year":2020,"lang":"en","type":"preprint","venue":"Research Square","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Inference; Econometrics; Computer science; Statistics; Economics; Mathematics; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.009335007,0.0003272142,0.0007429658,0.000235367,0.000161316,0.0002510058,0.001983119,0.000289828,0.000284524],"category_scores_gemma":[0.2128345,0.0002276825,0.0001367702,0.0006007837,0.0004521843,0.00006181739,0.002053546,0.003466715,0.00007856725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009479155,"about_ca_system_score_gemma":0.0006838695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007410601,"about_ca_topic_score_gemma":0.00007156016,"domain_scores_codex":[0.9894083,0.005359896,0.0009515448,0.0007355229,0.002797691,0.0007471064],"domain_scores_gemma":[0.9381484,0.05914403,0.0003600263,0.001102658,0.00107494,0.0001699129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006652328,0.002927989,0.1320339,0.03843347,0.000410438,0.0007071391,0.04486907,0.001413754,0.004109466,0.5832664,0.005390512,0.1857726],"study_design_scores_gemma":[0.0004140913,0.0003940942,0.05945309,0.007181977,0.00005188067,0.000005122388,0.002119111,0.0223325,0.0008533559,0.9065505,0.0001740241,0.0004702407],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5573938,0.004845997,0.3513498,0.007842032,0.0007149099,0.02349167,0.002205783,0.0005452961,0.05161069],"genre_scores_gemma":[0.9629923,0.0002669624,0.03605496,0.00002214592,0.0001285602,0.0004479899,0.00001680524,0.00003830745,0.00003202767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4055984,"threshold_uncertainty_score":0.9988323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.443705986824951,"score_gpt":0.541773560724808,"score_spread":0.09806757389985699,"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."}}