{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003917086,0.0004826987,0.0009981578,0.0006026067,0.0002229317,0.0001315837,0.0009525779,0.000636492,0.9874915],"category_scores_gemma":[0.00009862676,0.0006047772,0.0002644323,0.0004975388,0.00005893815,0.0001688793,0.0003632945,0.0004718592,0.9963396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001754252,"about_ca_system_score_gemma":0.00006537615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005445299,"about_ca_topic_score_gemma":0.000003011278,"domain_scores_codex":[0.997435,0.00001650838,0.00093454,0.000900544,0.00007385565,0.0006395617],"domain_scores_gemma":[0.9981437,0.00003401571,0.0004141146,0.001174786,0.00003898515,0.0001943909],"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":[0.00005456101,0.0001166417,1.615293e-7,0.00003740278,0.00002622692,0.00001955336,0.000005695129,0.000005817978,8.19107e-7,0.00002402675,0.9785936,0.02111542],"study_design_scores_gemma":[0.0002600043,0.0001638977,0.00001302124,0.00006431506,0.00001699097,0.00000728996,2.044568e-7,0.000007220564,0.000003500012,0.0001913296,0.9985337,0.0007385],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.000003521002,0.001162268,0.000001203341,0.0001337805,0.00003420728,0.0002623916,0.6204175,0.0000414669,0.3779436],"genre_scores_gemma":[1.399335e-7,0.00005954458,0.00002741159,0.0001917602,0.0003347898,0.00003662424,0.4501106,0.0000343573,0.5492048],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.1712612,"threshold_uncertainty_score":0.9996403,"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."}}