{"id":"W7001487060","doi":"","title":"KAJIAN CADANGAN ASURANSI DENGAN
\\nMETODE ZILLMER DAN METODE KANADA","year":2012,"lang":"id","type":"other","venue":"Digilib Repository Unila (Lampung University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Endowment policy; Automobile insurance","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","research_integrity"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.0007332458,0.003756343,0.00333773,0.002734416,0.002358008,0.0007041437,0.003836727,0.003123854,0.0001294499],"category_scores_gemma":[0.0001873319,0.004480009,0.002007103,0.003547586,0.001999274,0.001721835,0.001197697,0.003562237,0.0001804843],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004972344,"about_ca_system_score_gemma":0.002216336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001768571,"about_ca_topic_score_gemma":0.008821457,"domain_scores_codex":[0.984485,0.003257632,0.001670962,0.003810683,0.002842916,0.003932833],"domain_scores_gemma":[0.9888788,0.0005976089,0.002621794,0.004015488,0.0009191439,0.002967127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00108489,0.005567437,0.07606062,0.002899893,0.01499911,0.03340733,0.00842685,0.0007476089,0.1077706,0.7367458,0.009568748,0.002721142],"study_design_scores_gemma":[0.00298331,0.0002304954,0.003644736,0.001091263,0.003911333,0.0007083666,0.001165813,0.00006465841,0.01347138,0.00001093454,0.9683916,0.004326093],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004525761,0.003120306,0.0001799304,0.0001134554,0.005478917,0.002314541,0.00001353648,0.001727264,0.9825263],"genre_scores_gemma":[0.03478317,0.0003329865,0.0004225267,0.0001447848,0.001463881,0.000009311302,0.0008481368,0.003215356,0.9587799],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9588228,"threshold_uncertainty_score":0.9989408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009177640351546865,"score_gpt":0.1830092072026735,"score_spread":0.1738315668511266,"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."}}