{"id":"W2497526045","doi":"10.4324/9780203458280.ax3","title":"Glossary of Mutual Insurance Using Case Studies from the Usa, Australia, Canada, Japan and Finland","year":2004,"lang":"en","type":"book-chapter","venue":"Islamic studies series","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Glossary; Geography; Library science; History; Regional science; Computer science; Linguistics; Philosophy","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":[0.0004482872,0.001037186,0.0007328518,0.01276887,0.001292136,0.001884106,0.0006836965,0.0006263213,0.07999079],"category_scores_gemma":[0.002348375,0.0002636465,0.0003790256,0.02132327,0.0003933301,0.001333536,0.0006056643,0.0005703945,0.01246645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002263864,"about_ca_system_score_gemma":0.002198702,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09335557,"about_ca_topic_score_gemma":0.151143,"domain_scores_codex":[0.999671,0.0000483828,0.00005952741,0.0000309927,0.0001627256,0.0000273791],"domain_scores_gemma":[0.9984072,0.0009805668,0.0001578779,0.00004937757,0.0003464782,0.00005864307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004167173,0.00005277939,0.001178877,0.002866091,0.00001703175,0.0005593172,0.0008748038,0.0007202202,0.0005968625,0.01816094,0.8473289,0.1276025],"study_design_scores_gemma":[0.00000702487,0.0000138285,0.008160016,0.001346996,0.00002166393,0.0003964465,0.0006683473,0.0001559421,0.0001211286,0.001908337,0.987187,0.00001323147],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01501063,0.11192,0.004415006,0.003192922,0.002059639,0.001244743,0.1248787,0.0004410958,0.7368373],"genre_scores_gemma":[0.07565011,0.2589662,0.0223752,0.003755014,0.00207931,0.002316666,0.1301961,0.0006514936,0.5040098],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9066445,"threshold_uncertainty_score":0.2675958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08556775310523863,"score_gpt":0.2642692933357723,"score_spread":0.1787015402305336,"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."}}