{"id":"W2986102733","doi":"10.1093/biostatistics/kxz047","title":"Independence conditions and the analysis of life history studies with intermittent observation","year":2019,"lang":"en","type":"article","venue":"Biostatistics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Independence (probability theory); Econometrics; Statistics; Computer science; Psychology; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.000380443,0.00008863615,0.0003710799,0.00007374522,0.00003172924,0.000007853649,0.000081326,0.00003077565,0.0001296011],"category_scores_gemma":[0.003416357,0.00005112119,0.00003017904,0.0001853627,0.0004237354,0.00002864086,0.00004128703,0.00008454799,0.000002805083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004276273,"about_ca_system_score_gemma":0.00005558268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003853712,"about_ca_topic_score_gemma":0.00004207304,"domain_scores_codex":[0.9991641,0.0001220083,0.000282919,0.0001343049,0.0002118095,0.00008485983],"domain_scores_gemma":[0.9948968,0.004344101,0.0002238189,0.0002146407,0.0002841642,0.00003644668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0000619842,0.00002739608,0.0192332,0.0001229326,0.0007627748,0.000001185228,0.001094793,0.000007024196,0.00004972409,0.9763357,0.001172315,0.001130968],"study_design_scores_gemma":[0.001953785,0.0003025825,0.5739023,0.0001710178,0.003751216,0.000003162042,0.003318363,0.02809711,0.00005739057,0.3876536,0.0004616611,0.0003277749],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6513607,0.0007369148,0.3454547,0.0003995628,0.0002523735,0.0005141477,0.0004169346,0.00002988367,0.0008348128],"genre_scores_gemma":[0.8419638,0.00008750741,0.1574109,0.0002154944,0.000008312763,0.00001418894,0.00001019806,0.000006876267,0.0002827129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5886821,"threshold_uncertainty_score":0.4089946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1519331405211475,"score_gpt":0.370486172072266,"score_spread":0.2185530315511185,"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."}}