{"id":"W2618159999","doi":"","title":"CADANGAN CANADIAN PADA ASURANSI JIWA DWIGUNA MENGGUNAKAN DISTRIBUSI WEIBULL","year":2016,"lang":"id","type":"article","venue":"","topic":"Architectural and Urban Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Weibull distribution; Business; Mathematics; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003023279,0.0003601453,0.0002441653,0.001963756,0.004940845,0.002000056,0.00035629,0.0002993245,0.02271442],"category_scores_gemma":[0.00101362,0.0002223669,0.0002303556,0.004628582,0.0008281822,0.0005519047,0.0007283037,0.0005610508,0.002991751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006040621,"about_ca_system_score_gemma":0.006689169,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5576412,"about_ca_topic_score_gemma":0.7673751,"domain_scores_codex":[0.9997264,0.00002059317,0.000008127293,0.00004511786,0.0001095954,0.00009021047],"domain_scores_gemma":[0.9991335,0.0001128785,0.00006540408,0.00006810794,0.0005452131,0.00007481551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000631448,0.0001196187,0.2206577,0.0004949467,0.0001151177,0.004366912,0.007388372,0.01587317,0.006072932,0.1543186,0.1157573,0.4742039],"study_design_scores_gemma":[0.00001537349,0.00006129244,0.2121041,0.000214269,0.0000671837,0.001845418,0.01201515,0.009308481,0.002725869,0.00940664,0.7521098,0.0001263695],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.440321,0.003841117,0.01230411,0.003125875,0.0002674845,0.0001314916,0.0061602,0.0005551399,0.5332935],"genre_scores_gemma":[0.7045979,0.002975564,0.005970333,0.0002568823,0.00004811809,0.00005929275,0.002317436,0.0001368031,0.2836376],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5576412,"threshold_uncertainty_score":0.8899279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01923237113728292,"score_gpt":0.1888401705770312,"score_spread":0.1696077994397482,"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."}}