{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006826554,0.0007193499,0.0004972919,0.0007713432,0.001047403,0.003092162,0.0008544584,0.001047665,0.03808004],"category_scores_gemma":[0.0005905922,0.0004331995,0.0006029182,0.0006158527,0.0008166505,0.001443896,0.00136804,0.001221067,0.008254272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001688307,"about_ca_system_score_gemma":0.001932625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005994389,"about_ca_topic_score_gemma":0.01746907,"domain_scores_codex":[0.9991745,0.0001112869,0.00004337813,0.0001362717,0.0004261766,0.0001083047],"domain_scores_gemma":[0.9995248,0.00006475499,0.0000544479,0.00007575753,0.0002260758,0.00005418806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009687765,0.0005008914,0.004434788,0.002164237,0.00008038033,0.0008766141,0.001419227,0.002006159,0.5375873,0.04444383,0.02448817,0.3810296],"study_design_scores_gemma":[0.00003125988,0.0005782435,0.005445389,0.0003061834,0.0001052973,0.0004140394,0.001337823,0.001678383,0.2663412,0.003016455,0.7206753,0.0000704023],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2315553,0.0227106,0.07319245,0.005774852,0.003012988,0.0006860508,0.002481509,0.002317705,0.6582685],"genre_scores_gemma":[0.4329025,0.01817549,0.05348788,0.001561657,0.0002563651,0.0002752576,0.001541183,0.0006002563,0.4911995],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03808004,"threshold_uncertainty_score":0.1273904,"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."}}