{"id":"W4242204800","doi":"10.1108/s0573-855520180000294020","title":"Index","year":2018,"lang":"en","type":"paratext","venue":"","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health care; Actuarial science; Index (typography); Econometrics; Medicine; Economics; Psychology; Statistics; Computer science; Mathematics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001497602,0.001540405,0.001342063,0.005463235,0.002056462,0.01030901,0.002597961,0.002357569,0.6773664],"category_scores_gemma":[0.00823572,0.0005225074,0.00111474,0.008062388,0.0007938827,0.007255386,0.003885165,0.002214299,0.6497415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002631855,"about_ca_system_score_gemma":0.003320575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0043046,"about_ca_topic_score_gemma":0.004512137,"domain_scores_codex":[0.9980268,0.0002029147,0.0001923669,0.0003940654,0.001019862,0.0001639923],"domain_scores_gemma":[0.996868,0.0003106082,0.0001547065,0.0005306585,0.001682052,0.0004540199],"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":[0.00001558464,0.00001686529,0.0001672304,0.0001933247,0.00000462733,0.00002234868,0.00004181794,0.00003908835,0.000102105,0.006457958,0.9169017,0.07603727],"study_design_scores_gemma":[0.000003281982,0.000007264041,0.0002678765,0.00009734272,0.00000212182,0.00003850088,0.00003977579,0.00003900917,0.00004695028,0.001840265,0.9976127,0.000005069605],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000699578,0.00725466,0.003439036,0.009481248,0.0231997,0.0003753245,0.03217688,0.003328294,0.9200452],"genre_scores_gemma":[0.003059465,0.00568535,0.002812404,0.003193761,0.003736489,0.0003131769,0.02688105,0.001434416,0.9528838],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3226336,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1086460745940896,"score_gpt":0.2237767417831825,"score_spread":0.1151306671890929,"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."}}