{"id":"W4398716692","doi":"10.7910/dvn/ke2aqu/onsqwj","title":"performing_repl.zip","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Peace and Human Rights Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer graphics (images); Computer science; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005713207,0.0001867762,0.0002318498,0.0001625644,0.0005534535,0.000213948,0.0008409072,0.0003135653,0.1035701],"category_scores_gemma":[0.0001950211,0.000173557,0.00009334322,0.0001081526,0.000207707,0.0004272755,0.0001235662,0.0003414575,0.4471999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002107051,"about_ca_system_score_gemma":0.0008403437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005249568,"about_ca_topic_score_gemma":0.004532399,"domain_scores_codex":[0.9984226,0.0001128137,0.0001920313,0.0003855038,0.00051046,0.0003765762],"domain_scores_gemma":[0.9984618,0.00008253876,0.0001732386,0.001058959,0.00007968618,0.0001438015],"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":[0.000005634685,0.00004521524,0.000007472515,0.00004316,0.00001895371,0.000007372818,0.0008427364,2.446315e-7,6.388005e-7,0.000637741,0.9982165,0.0001744013],"study_design_scores_gemma":[0.0001061485,0.00001680302,0.0000250923,0.00005548821,0.00007485328,0.000001156857,0.0007446889,6.658015e-7,0.000001155288,0.0001123318,0.9986128,0.0002488688],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001483683,0.000001489953,8.301594e-7,0.00002597186,0.002466764,0.0002773053,0.9889448,0.0000432294,0.008091243],"genre_scores_gemma":[0.00002886427,0.0006193275,0.0000231241,0.0003170331,0.001444635,0.00001420287,0.9728541,0.00001148226,0.02468718],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3436297,"threshold_uncertainty_score":0.8972493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03817356524598338,"score_gpt":0.3185151668772918,"score_spread":0.2803416016313084,"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."}}