{"id":"W4229629077","doi":"10.14322/publons.r2131331","title":"10.14322/publons.r2131331","year":2000,"lang":"en","type":"dataset","venue":"Time to knit","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Psychology","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":[0.00153317,0.002302206,0.001421298,0.003683195,0.0005715651,0.003447694,0.003007946,0.002350665,0.4077197],"category_scores_gemma":[0.007272975,0.001224612,0.0010406,0.007838689,0.000527454,0.001522843,0.002399144,0.001324021,0.611756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001376283,"about_ca_system_score_gemma":0.001736955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02063562,"about_ca_topic_score_gemma":0.02660486,"domain_scores_codex":[0.9987991,0.000195967,0.0001444095,0.000372767,0.0002390959,0.0002487138],"domain_scores_gemma":[0.9970514,0.0006258246,0.0004726792,0.0008461428,0.0005995832,0.0004043242],"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":[0.00007366175,0.00002805765,0.001116439,0.0003783271,0.00002396116,0.00001439845,0.00001722753,0.0002823668,0.00006249661,0.0003342369,0.9941386,0.0035302],"study_design_scores_gemma":[0.0004116716,0.00004272336,0.004976882,0.0002953177,0.00003127453,0.00004168348,0.00006749888,0.0006310478,0.0004301507,0.001004321,0.9920323,0.00003517446],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001195786,0.00004029286,0.0000927869,0.00004830179,0.00001963292,0.000009573487,0.9978184,0.0006274511,0.001224112],"genre_scores_gemma":[0.0006365246,0.00005190076,0.0001923491,0.0000615781,0.00001451337,0.00006968071,0.9944627,0.000268948,0.004241782],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5922803,"threshold_uncertainty_score":0.844816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01222810024127876,"score_gpt":0.1740102071162423,"score_spread":0.1617821068749636,"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."}}