{"id":"W3110763173","doi":"10.26418/bbimst.v8i3.33637","title":"MODEL MULTIPLE DECREMENT DALAM PENENTUAN PREMI ASURANSI JIWA","year":2019,"lang":"id","type":"article","venue":"Bimaster Buletin Ilmiah Matematika Statistika dan Terapannya","topic":"Management and Optimization Techniques","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Physics; Humanities","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":[0.003064766,0.001770794,0.001175336,0.001200834,0.0007904363,0.004153695,0.00238343,0.001054233,0.02041955],"category_scores_gemma":[0.008926908,0.0008366382,0.002439942,0.001518535,0.0005799748,0.002935768,0.001588688,0.002117811,0.003874345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002879325,"about_ca_system_score_gemma":0.005029192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04198142,"about_ca_topic_score_gemma":0.04516526,"domain_scores_codex":[0.9980263,0.0004765416,0.0001475626,0.0005889093,0.0005275984,0.000232988],"domain_scores_gemma":[0.9952643,0.002190477,0.0005012543,0.0006772806,0.001167913,0.0001987032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002398047,0.001661446,0.2002663,0.001333535,0.0009468388,0.0008114423,0.001995065,0.4618947,0.005719221,0.04419868,0.02235647,0.2564182],"study_design_scores_gemma":[0.0002229087,0.001408752,0.06739845,0.0003373543,0.0008140453,0.0002944522,0.002145926,0.838007,0.008665862,0.03192741,0.04857959,0.0001983139],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6204113,0.001710668,0.2677583,0.003153138,0.0006861922,0.001649635,0.01365749,0.003922958,0.08705038],"genre_scores_gemma":[0.8569371,0.0008193619,0.05965813,0.0002550297,0.00006323076,0.0009128143,0.007560333,0.0004985555,0.0732955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04198142,"threshold_uncertainty_score":0.08347416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01902448093536282,"score_gpt":0.2214166010333138,"score_spread":0.202392120097951,"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."}}