{"id":"W4220834947","doi":"10.1108/978-1-80117-898-320221020","title":"Index","year":2022,"lang":"en","type":"paratext","venue":"","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economics; Cointegration; Index (typography); China; Liberian dollar; Economy; Geography; Econometrics","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":[0.001452555,0.001956834,0.001412942,0.005866729,0.001946513,0.01169724,0.002232465,0.00307673,0.7321754],"category_scores_gemma":[0.00680592,0.000599932,0.001299231,0.008877336,0.000748982,0.008095855,0.003696481,0.002396553,0.7595724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002425406,"about_ca_system_score_gemma":0.0040874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005855299,"about_ca_topic_score_gemma":0.005606803,"domain_scores_codex":[0.9979573,0.0001844888,0.0001956816,0.0004019783,0.001047086,0.0002133034],"domain_scores_gemma":[0.9964027,0.0002842881,0.000162551,0.0005413388,0.002088339,0.0005207973],"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":[0.00001511962,0.00001385608,0.0001563659,0.0002124217,0.000004281842,0.00002385586,0.00002356577,0.00004244926,0.0001080444,0.003850344,0.9232402,0.07230937],"study_design_scores_gemma":[0.000002886902,0.000005978624,0.0002108177,0.00009535013,0.000001871244,0.00003323991,0.00002473896,0.00002851896,0.00005379674,0.001040354,0.998497,0.000005373749],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006224021,0.005999916,0.002276741,0.008357993,0.02005074,0.0003027854,0.04415354,0.004746017,0.9134897],"genre_scores_gemma":[0.002586163,0.005118482,0.0018816,0.002974115,0.002930861,0.0002485315,0.03864851,0.001700255,0.9439116],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2678246,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02465004321651674,"score_gpt":0.2032448805244307,"score_spread":0.178594837307914,"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."}}