{"id":"W4411618291","doi":"10.51847/tj59bi78um","title":"10.51847/tJ59bi78Um","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Micro finance; Reduction (mathematics); Scale (ratio); Training (meteorology); Business; Finance; Agricultural economics; Medicine; Socioeconomics; Economics; Geography; Economic growth; Microfinance; Cartography; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000952302,0.001350338,0.0008275842,0.002621653,0.001330174,0.003823412,0.00127643,0.003785636,0.9758294],"category_scores_gemma":[0.001898752,0.0005113639,0.0007001851,0.002752151,0.0008864124,0.00306121,0.002469014,0.001265882,0.9782975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008232139,"about_ca_system_score_gemma":0.0006752393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003489289,"about_ca_topic_score_gemma":0.002499249,"domain_scores_codex":[0.9994319,0.00007145519,0.00006787769,0.0001577842,0.0001384385,0.0001324235],"domain_scores_gemma":[0.9985338,0.0003596533,0.0001201861,0.0002417084,0.0003801175,0.0003644775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004143954,0.0003865451,0.002233412,0.000447893,0.00002024814,0.0003693841,0.0001749933,0.0003217643,0.002859959,0.004493122,0.266037,0.7222413],"study_design_scores_gemma":[0.00007865916,0.0001137076,0.002668837,0.0004328464,0.00001930766,0.0004865502,0.0002551984,0.0005918512,0.0007681762,0.00151475,0.9930393,0.00003071419],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003039361,0.0005904181,0.002111529,0.001241648,0.000899475,0.0002091987,0.001700369,0.001730853,0.9884772],"genre_scores_gemma":[0.004123955,0.0002990996,0.001033923,0.0004286486,0.0001026207,0.00009310476,0.0008285581,0.000250356,0.9928397],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02417064,"threshold_uncertainty_score":0.0344764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01121827972504678,"score_gpt":0.1665811721587264,"score_spread":0.1553628924336796,"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."}}