{"id":"W2002817476","doi":"10.1198/tech.2007.s493","title":"Life Time Data: Statistical Models and Methods","year":2007,"lang":"en","type":"article","venue":"Technometrics","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Statistics; Computer science; Econometrics; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.05175594,0.001677571,0.003164608,0.005052732,0.0009513135,0.004076357,0.00373702,0.002923097,0.008448662],"category_scores_gemma":[0.1181779,0.0008103159,0.003444339,0.009735268,0.002604038,0.00376609,0.002618865,0.004460365,0.002580236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002210028,"about_ca_system_score_gemma":0.003885837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005981146,"about_ca_topic_score_gemma":0.004327853,"domain_scores_codex":[0.9560143,0.03618858,0.00170134,0.002911388,0.002520042,0.0006643183],"domain_scores_gemma":[0.8654274,0.1171981,0.003729035,0.01014163,0.002747162,0.0007566099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006937085,0.00092432,0.05752851,0.002162521,0.002661221,0.0004815445,0.001211523,0.09771489,0.0004531101,0.3690443,0.05052189,0.4166025],"study_design_scores_gemma":[0.0002987086,0.000675601,0.02118955,0.00083145,0.00105684,0.0007435697,0.001093307,0.397061,0.0006431078,0.5293117,0.04689553,0.0001996378],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02001483,0.00439047,0.9611127,0.00295854,0.0006232837,0.001185168,0.006701199,0.001190881,0.001822961],"genre_scores_gemma":[0.3340542,0.008234747,0.6239067,0.001480641,0.001887201,0.01177447,0.009845729,0.0006550107,0.008161326],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05175594,"threshold_uncertainty_score":0.2737149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09794607587331645,"score_gpt":0.4387383887401873,"score_spread":0.3407923128668709,"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."}}