{"id":"W7099382938","doi":"","title":"NOTICE","year":2016,"lang":"en","type":"article","venue":"","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Notice; Context (archaeology); Limiting","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000160478,0.00005957699,0.0001292263,0.00006013062,0.00005586228,0.00001031014,0.0001174247,0.00005367946,0.002435484],"category_scores_gemma":[0.00005500315,0.00004385244,0.00004834637,0.00009095995,0.00002588658,0.0001611229,0.0000560822,0.00002579207,0.01236584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003307137,"about_ca_system_score_gemma":0.000004785939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006908542,"about_ca_topic_score_gemma":0.00000919159,"domain_scores_codex":[0.9993989,0.000001815677,0.000228533,0.0001953523,0.00001068269,0.0001647243],"domain_scores_gemma":[0.9996761,0.000018079,0.00007408443,0.0001897236,0.00001139225,0.00003059515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004082387,0.00001948516,0.0134766,0.000001864143,0.000002445303,0.00000159875,0.00003124695,8.0247e-8,0.001650004,0.9663029,0.009375856,0.009133777],"study_design_scores_gemma":[0.0003449729,0.00002905193,0.01970802,0.000009821762,6.186959e-7,0.000001763349,0.000004121897,0.000009010498,0.003264454,0.1230167,0.8534479,0.0001634975],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1544797,0.001115261,0.1567324,0.005655234,0.0008084264,0.0001190563,0.00005263666,0.0001070759,0.6809303],"genre_scores_gemma":[0.9670533,0.0002209863,0.0009412973,0.0006836467,0.0001100363,0.00000459942,6.257507e-7,0.000009503495,0.03097598],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8440721,"threshold_uncertainty_score":0.9984764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02785178198348932,"score_gpt":0.1920796239709742,"score_spread":0.1642278419874849,"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."}}