{"id":"W2997098473","doi":"10.1080/24709360.2019.1699341","title":"Cohort study design for illness-death processes with disease status under intermittent observation","year":2019,"lang":"en","type":"article","venue":"Biostatistics & Epidemiology","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Toronto","funders":"","keywords":"Censoring (clinical trials); Cohort; Medicine; Cohort study; Sample size determination; Prospective cohort study; Disease; Incidence (geometry); Confidence interval; Event (particle physics); Demography; Statistics; Internal medicine; Mathematics; Pathology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.07755016,0.001317899,0.002076796,0.001835834,0.001106388,0.001840505,0.004098156,0.002901903,0.009417197],"category_scores_gemma":[0.09129766,0.0007347465,0.001977705,0.002921654,0.001868829,0.002194629,0.003060699,0.003408845,0.001262329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001184315,"about_ca_system_score_gemma":0.003648924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00173269,"about_ca_topic_score_gemma":0.001876528,"domain_scores_codex":[0.9525067,0.03900289,0.001545265,0.004010374,0.002298478,0.0006363947],"domain_scores_gemma":[0.9403328,0.04382235,0.004981468,0.007854248,0.002245286,0.0007639326],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002692686,0.0007687104,0.03682445,0.002716593,0.002358316,0.0007585919,0.001812574,0.02996368,0.002295281,0.8005115,0.01115961,0.1081381],"study_design_scores_gemma":[0.004083075,0.01101442,0.01609308,0.001475821,0.002794628,0.001489763,0.0009673047,0.3315643,0.00179712,0.5340964,0.09431005,0.0003140598],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01571208,0.001645756,0.9673935,0.001054461,0.001142911,0.008871267,0.001899638,0.0002498286,0.002030491],"genre_scores_gemma":[0.1922992,0.004570465,0.7145315,0.001615741,0.001187915,0.07598013,0.002464838,0.0001027088,0.007247488],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9224498,"threshold_uncertainty_score":0.4101293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2551980163011247,"score_gpt":0.4321040283620619,"score_spread":0.1769060120609373,"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."}}