{"id":"W4398407157","doi":"10.7910/dvn/mv25mz/77sckm","title":"f_variety_mechanisms.do","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Advanced Algebra and Geometry","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Replication (statistics); Variety (cybernetics); Mathematics; Statistics","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":[],"category_scores_codex":[0.0010781,0.004004327,0.002243108,0.00693692,0.001395501,0.005258694,0.005155709,0.004204665,0.166987],"category_scores_gemma":[0.007567365,0.001059818,0.002096777,0.009252172,0.0009178214,0.003329163,0.00398702,0.002305717,0.1845142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002256202,"about_ca_system_score_gemma":0.002514584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02131294,"about_ca_topic_score_gemma":0.02777094,"domain_scores_codex":[0.9985123,0.0002107117,0.0001286827,0.0005076529,0.0003169499,0.0003236793],"domain_scores_gemma":[0.997122,0.0007879691,0.0002904452,0.001071202,0.0004038594,0.0003245206],"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":[0.00007583195,0.0000205979,0.0008251782,0.00101904,0.00003706513,0.00002209988,0.00003012356,0.0003192239,0.00008484025,0.001612093,0.9934338,0.002520061],"study_design_scores_gemma":[0.0002604022,0.00001633775,0.00169462,0.0004141502,0.00002707536,0.00005186924,0.00006035811,0.0004751836,0.0002912937,0.003190908,0.9934882,0.00002956021],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001222056,0.0001475288,0.00008179429,0.000084277,0.00002536828,0.00000679372,0.9974174,0.0010233,0.001091272],"genre_scores_gemma":[0.0008176666,0.0001536381,0.0002854526,0.00009380062,0.00001179921,0.00005262907,0.9976289,0.0002366262,0.0007195535],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8330131,"threshold_uncertainty_score":0.5586271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03819668060549222,"score_gpt":0.3018936397236834,"score_spread":0.2636969591181912,"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."}}