{"id":"W1807263055","doi":"10.5539/ijsp.v5n3p91","title":"Time Scales in Epidemiological Analysis: An Empirical Comparison","year":2016,"lang":"en","type":"article","venue":"International Journal of Statistics and Probability","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Covariate; Observational study; Scale (ratio); Proportional hazards model; Hazard; Regression analysis; Regression; Epidemiology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002357106,0.0001052066,0.0004903261,0.0001314553,0.00001914967,0.00002838542,0.0002271591,0.00006700484,0.0002369194],"category_scores_gemma":[0.01014153,0.0000584482,0.00006674663,0.0001024901,0.0002470305,0.00008868687,0.00005254292,0.0001524417,0.000003862959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007066942,"about_ca_system_score_gemma":0.00003914972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007354307,"about_ca_topic_score_gemma":0.00004145144,"domain_scores_codex":[0.9979477,0.000494716,0.0009272704,0.0001709136,0.0003267805,0.0001326275],"domain_scores_gemma":[0.993104,0.00581082,0.0003580689,0.0001079049,0.0004844731,0.000134714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002521584,0.0005465221,0.6616977,0.000014977,0.0002564475,0.00003659237,0.0001525649,0.00002620952,0.0001107155,0.2739545,0.000640711,0.06231085],"study_design_scores_gemma":[0.0002598547,0.0001760373,0.3252413,0.00002600349,0.00005022917,0.000008303241,0.000009917773,0.006080959,0.00001196031,0.6679975,0.00007677975,0.00006112427],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4195332,0.00001672648,0.5793726,0.0007165513,0.00007119839,0.00004441228,0.0001703544,0.000004258194,0.00007072648],"genre_scores_gemma":[0.5694093,0.00002763289,0.4304506,0.00004963416,0.00004945211,0.000001319013,0.000002595485,0.000002820241,0.000006643244],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.3940431,"threshold_uncertainty_score":0.9981965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1575325303160894,"score_gpt":0.467400564854661,"score_spread":0.3098680345385716,"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."}}