{"id":"W7029222664","doi":"","title":"KAJIAN METODE COMMISSIONERS, ILLINOIS DAN CANADIAN DALAM MENENTUKAN CADANGAN PADA ASURANSI JIWA DWIGUNA","year":2015,"lang":"id","type":"dissertation","venue":"Andalas University eThesis (Andalas University)","topic":"Libraries and Information Services","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pacific Area; Driving factors; Offshore outsourcing","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":[0.0006032699,0.0005697751,0.0002553239,0.001207243,0.00960928,0.005464279,0.0006252362,0.001019562,0.0600539],"category_scores_gemma":[0.0007887381,0.0004187857,0.0002569146,0.001868215,0.001710491,0.0007722872,0.001830167,0.001053242,0.005472069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01799184,"about_ca_system_score_gemma":0.03922382,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7720464,"about_ca_topic_score_gemma":0.9641797,"domain_scores_codex":[0.9991092,0.0000539665,0.00001930481,0.000127315,0.0003909428,0.0002992678],"domain_scores_gemma":[0.9990119,0.0000941723,0.00004878768,0.00004715227,0.0005723434,0.0002256509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000604558,0.000464086,0.09271089,0.001052286,0.00007442373,0.002859597,0.01898776,0.001433233,0.03085973,0.1028433,0.3273773,0.4207328],"study_design_scores_gemma":[0.00001123725,0.00002976776,0.01812355,0.0001018172,0.00001385419,0.00009537919,0.006403639,0.0001567639,0.002623053,0.0004757163,0.9719382,0.00002693585],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1193685,0.005275692,0.003310107,0.01496323,0.0007068643,0.0003253345,0.002372741,0.0008724385,0.8528051],"genre_scores_gemma":[0.1034362,0.001754971,0.003959951,0.001221983,0.00002225861,0.00006986967,0.0005607695,0.0001362687,0.8888378],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7720464,"threshold_uncertainty_score":0.458592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02154114967709266,"score_gpt":0.1931926952316396,"score_spread":0.171651545554547,"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."}}