{"id":"W4236592076","doi":"10.1002/9781119193494.index","title":"Index","year":2016,"lang":"en","type":"paratext","venue":"","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Government of Ontario; National Institute of Advanced Industrial Science and Technology; Network for Studies on Pensions, Aging and Retirement","keywords":"Index (typography); Library science; Management; Citation; Political science; Engineering; World Wide Web; Economics; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004583756,0.001063228,0.0006830667,0.004307954,0.000965491,0.00342075,0.001152815,0.0008001728,0.5478199],"category_scores_gemma":[0.003680019,0.0002290941,0.0003719368,0.004626432,0.0002564917,0.002839993,0.001157578,0.001066254,0.5157182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001402925,"about_ca_system_score_gemma":0.00132736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005323985,"about_ca_topic_score_gemma":0.005766353,"domain_scores_codex":[0.9992305,0.00004459647,0.00007371538,0.0001569287,0.0004137972,0.00008037475],"domain_scores_gemma":[0.9984131,0.000130407,0.0001304462,0.0001787511,0.0009409481,0.0002063371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003083074,0.00001879677,0.000485531,0.00008030481,0.000003486014,0.00001419064,0.0000269128,0.00006511603,0.0001389002,0.006771346,0.9196691,0.07269555],"study_design_scores_gemma":[0.000003700458,0.000008944155,0.001350096,0.00003674517,0.000001335975,0.00002944608,0.00002870636,0.00005379072,0.00008593207,0.001823132,0.996574,0.00000411401],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001604876,0.002482329,0.001632572,0.002770731,0.004424281,0.0002162626,0.09000346,0.00151439,0.8953512],"genre_scores_gemma":[0.005496957,0.002304103,0.001125662,0.0008437663,0.001664858,0.0001838899,0.04716901,0.0005543823,0.9406573],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4521801,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02326587777114846,"score_gpt":0.2200485313851183,"score_spread":0.1967826536139698,"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."}}