{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001828623,0.0001388373,0.0002857011,0.0001273164,0.0001333777,0.00004107679,0.0002544835,0.00009821082,0.9877132],"category_scores_gemma":[0.00002685962,0.000169343,0.0000907827,0.0002926194,0.00002499993,0.0001454403,0.0000664651,0.0000916198,0.9945918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005683364,"about_ca_system_score_gemma":0.00001117071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008431231,"about_ca_topic_score_gemma":2.645742e-7,"domain_scores_codex":[0.9989268,0.000005315931,0.0003711828,0.0003480224,0.00002808054,0.0003206685],"domain_scores_gemma":[0.999464,0.00001161455,0.00007200086,0.000340974,0.00001755641,0.00009390051],"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":[0.00007196136,0.0001000624,0.00001032333,0.000007640405,0.00001105538,0.000008084879,0.0000716531,0.0000505232,0.00007645729,0.001300873,0.0827608,0.9155306],"study_design_scores_gemma":[0.0001956191,0.00009485978,0.0004538966,0.000009471431,0.000001881243,0.000002960751,3.935801e-7,0.0001219042,0.00003225588,0.000343831,0.9985079,0.0002350013],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006759949,0.0005321964,0.00001635411,0.0003952156,0.00001190366,0.0001580162,0.00008509694,0.00006974649,0.9919715],"genre_scores_gemma":[0.002355886,0.0000111872,0.0001834806,0.0002691868,0.0001701093,0.00001658405,0.00001788618,0.00002680262,0.9969489],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9157471,"threshold_uncertainty_score":0.6905607,"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."}}