{"id":"W4398332502","doi":"10.7910/dvn/kre6kh/fnudjr","title":"Appendix1_WomenPop_AllCountries_MI.RData","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Global Financial Crisis and Policies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Replication (statistics); State (computer science); Data bank; Business; Financial system; Computer science; Biology; Telecommunications; Programming language; Virology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001378145,0.001254419,0.00122797,0.004246276,0.0009008148,0.00251418,0.002563132,0.001291352,0.591252],"category_scores_gemma":[0.01671953,0.000992459,0.0008215522,0.01027702,0.000437917,0.001986088,0.002033985,0.001407247,0.2921931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001959253,"about_ca_system_score_gemma":0.00334285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04762929,"about_ca_topic_score_gemma":0.07536195,"domain_scores_codex":[0.9987972,0.0001865557,0.0001651612,0.0003377179,0.0002785146,0.0002349019],"domain_scores_gemma":[0.992983,0.002328261,0.0007413174,0.001110796,0.002294758,0.0005417716],"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":[0.00001045214,0.000005770348,0.0003010845,0.0001175199,0.000004237821,0.000002912719,0.000007170966,0.00003990199,0.000006983227,0.000194704,0.9984128,0.0008963598],"study_design_scores_gemma":[0.0002724012,0.00001287283,0.004059662,0.0002716675,0.00002076577,0.00002372177,0.0001031748,0.0001762048,0.0001260434,0.001299286,0.9936092,0.00002500148],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003009404,0.000009175345,0.0000324701,0.00004785854,0.00001567863,0.00001206571,0.9989485,0.00009507328,0.0008090166],"genre_scores_gemma":[0.0007302256,0.00004451513,0.0003394398,0.0001497562,0.00002904361,0.000401063,0.9935054,0.0002414385,0.004559169],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.408748,"threshold_uncertainty_score":0.5830294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02568213643236305,"score_gpt":0.2206051314347799,"score_spread":0.1949229950024168,"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."}}