{"id":"W4238466615","doi":"10.1002/9781118696781.index","title":"Index","year":2016,"lang":"en","type":"paratext","venue":"","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University; St. Mary's University","funders":"","keywords":"Index (typography); Nova scotia; Library science; Art; Geography; Archaeology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003450622,0.0006964782,0.0005068842,0.00186928,0.0005684684,0.001925753,0.0008822907,0.0008761812,0.6050677],"category_scores_gemma":[0.002485664,0.0001415498,0.0003324185,0.001361128,0.0002197484,0.001135558,0.0008085176,0.0007967899,0.4880011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001183972,"about_ca_system_score_gemma":0.00138905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004115685,"about_ca_topic_score_gemma":0.00602387,"domain_scores_codex":[0.9995858,0.00003409365,0.00002621076,0.00005317845,0.0002602344,0.00004045645],"domain_scores_gemma":[0.9988067,0.0001175842,0.00008746109,0.00008009632,0.000698832,0.0002092932],"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":[0.00006202533,0.00003657834,0.0001360732,0.0001638807,0.000002388904,0.00002094419,0.000006772956,0.00006624505,0.0004057535,0.00212373,0.869415,0.1275606],"study_design_scores_gemma":[0.000009694744,0.00002064765,0.0003896783,0.00008548108,0.00000186649,0.00002993128,0.000007931568,0.00004373472,0.0002246855,0.0008706987,0.9983131,0.00000259273],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007318538,0.005511146,0.001892269,0.004347873,0.006729515,0.0003537814,0.02492883,0.001404444,0.9541002],"genre_scores_gemma":[0.002364278,0.003705303,0.0009465806,0.001690247,0.001513101,0.0001257966,0.01127591,0.00023424,0.9781446],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3949323,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04489381102715755,"score_gpt":0.2138151267935723,"score_spread":0.1689213157664148,"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."}}