{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008293386,0.000182944,0.000219657,0.0001427168,0.0005013554,0.0001525603,0.0005838737,0.0001001176,0.9940643],"category_scores_gemma":[0.0000554286,0.0001926882,0.0001449728,0.0007118511,0.0002183235,0.0002291288,0.00006106053,0.0001374217,0.9921995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008543367,"about_ca_system_score_gemma":0.0000518157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001070641,"about_ca_topic_score_gemma":0.00006328613,"domain_scores_codex":[0.9978933,0.0002049771,0.0002619062,0.00038119,0.0006516706,0.0006069187],"domain_scores_gemma":[0.9991463,0.00005466514,0.00005513318,0.000422697,0.00007854606,0.0002427046],"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":[0.00003098367,0.00009871479,0.00001721423,0.00000743568,0.00004047535,0.00001156191,0.0005013249,0.00004098159,0.00000131857,0.0001503731,0.3502316,0.648868],"study_design_scores_gemma":[0.0001662859,0.00005293042,0.0008410227,0.00001285137,0.00002747849,4.082945e-7,0.00003692636,0.00001826814,0.000007299724,0.0001450782,0.9984294,0.0002620826],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002029747,0.00008898502,0.000001275782,0.0009190878,0.00001291961,0.0004938106,0.00001725034,0.0003068902,0.99613],"genre_scores_gemma":[0.003020813,0.000004539701,0.0001225063,0.0001542457,0.0003881895,0.00004725775,0.00001044743,0.00002535427,0.9962267],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6486059,"threshold_uncertainty_score":0.7857597,"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."}}