{"id":"W4386040911","doi":"10.1108/978-1-83753-826-320231010","title":"Index","year":2023,"lang":"en","type":"paratext","venue":"","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Index (typography); Computer science; World Wide Web","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002731201,0.0002874103,0.0007426077,0.0004514538,0.0001403296,0.00006968322,0.0004267803,0.0006554209,0.0290554],"category_scores_gemma":[0.00003819384,0.0003356571,0.0002341844,0.0004671808,0.00004457162,0.00009942466,0.0003069157,0.000408027,0.7085648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001172441,"about_ca_system_score_gemma":0.00004506936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001238815,"about_ca_topic_score_gemma":0.00006187952,"domain_scores_codex":[0.9981363,0.00000486516,0.0007454382,0.0006533603,0.00003344768,0.0004265206],"domain_scores_gemma":[0.9989496,0.00002308125,0.0004213787,0.0005174012,0.00002676048,0.00006171519],"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":[0.000003978851,0.00001969625,0.0001438674,0.00004850373,0.00001827828,0.00000503917,0.00004163368,0.00001030716,0.00000370356,0.05448556,0.9445179,0.0007015757],"study_design_scores_gemma":[0.0001676549,0.0000237755,0.0006432726,0.00004300419,0.000001679878,0.000001108185,0.000006876932,0.00006865624,0.00002970627,0.01426091,0.9843224,0.0004309543],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002171689,0.006816996,0.007087997,0.0003847451,0.00836634,0.0002137999,0.0007796392,0.00009227543,0.976041],"genre_scores_gemma":[0.00446337,0.007385874,0.00008393449,0.0006233433,0.0009925782,0.00004082956,0.0003675079,0.0001073613,0.9859352],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6795093,"threshold_uncertainty_score":0.9999095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04365874790736861,"score_gpt":0.2453412377005892,"score_spread":0.2016824897932206,"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."}}