{"id":"W2786505706","doi":"10.1016/0967-0653(96)80374-a","title":"10.1016/0967-0653(96)80374-a","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Econometrics; Statistics; Mathematics; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001665795,0.003365186,0.002286372,0.003384343,0.002998674,0.004623984,0.003657238,0.007873715,0.9895969],"category_scores_gemma":[0.002010024,0.001303741,0.001676968,0.002829276,0.002903368,0.007060652,0.004052184,0.003286419,0.991392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001290379,"about_ca_system_score_gemma":0.0009843671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004459705,"about_ca_topic_score_gemma":0.003484879,"domain_scores_codex":[0.998989,0.0001038307,0.0001040438,0.0003617527,0.0002057257,0.0002355735],"domain_scores_gemma":[0.997334,0.000736259,0.0001915462,0.0003485974,0.0006010093,0.0007886291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004685997,0.0003851428,0.001482295,0.0007321256,0.00005772332,0.0004818128,0.0001751926,0.0006143482,0.002478845,0.006682693,0.3238316,0.6626096],"study_design_scores_gemma":[0.0000768211,0.0001596179,0.001363006,0.0006831298,0.00002252984,0.0006064657,0.0002347768,0.0003371392,0.0004108486,0.001159741,0.9949065,0.00003936651],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008013946,0.000559632,0.000731256,0.00066022,0.0003721875,0.0001745521,0.0009479902,0.0007617545,0.9949911],"genre_scores_gemma":[0.001039639,0.0002996829,0.0004726033,0.0004053099,0.00007791078,0.00007951429,0.000428399,0.0001911087,0.9970058],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0104031,"threshold_uncertainty_score":0.01483876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009012440133619137,"score_gpt":0.2164019929001192,"score_spread":0.2073895527665001,"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."}}