{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001641598,0.0005784233,0.0005440114,0.0001667911,0.0018846,0.0002466986,0.0003854625,0.0001295187,0.01518126],"category_scores_gemma":[0.00005041545,0.0003213504,0.0002634112,0.00008037362,0.0007860294,0.0002353138,0.000139092,0.0002477758,0.002323647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002987839,"about_ca_system_score_gemma":0.0002853785,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3602214,"about_ca_topic_score_gemma":0.9164299,"domain_scores_codex":[0.9972101,0.000105057,0.0004968801,0.0005812642,0.0003660117,0.001240698],"domain_scores_gemma":[0.9983719,0.0002019534,0.0001135983,0.0004400335,0.0002108515,0.0006616907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001149096,0.0001328297,0.007579135,0.0001697968,0.0009947579,0.0002386384,0.02882095,7.422839e-7,0.0005549704,0.1965738,0.6986311,0.06618837],"study_design_scores_gemma":[0.0005824006,0.0001839413,0.007583789,0.0001520533,0.00009158973,0.00001117703,0.0026926,0.00000236769,0.0003072709,0.001035411,0.9866402,0.0007172147],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1340853,0.004439975,0.00007039225,0.05841334,0.0027977,0.0006866528,0.002598862,0.0002869903,0.7966208],"genre_scores_gemma":[0.6814105,0.0003658464,0.00001227948,0.0008404936,0.000955616,0.00001608235,0.00002854745,0.00003794436,0.3163327],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5562086,"threshold_uncertainty_score":0.9999239,"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."}}