{"id":"W4398871383","doi":"10.7910/dvn/rnl8ka/qigvdc","title":"Experiment_1A_90.csv","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Nuclear Physics and Applications","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Mathematics; Computer science","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":[0.001481215,0.003636023,0.00235005,0.003484752,0.001197766,0.003463842,0.00501902,0.003074512,0.134412],"category_scores_gemma":[0.006481019,0.0009651815,0.001623363,0.006607529,0.0008157623,0.002033754,0.002750905,0.002056316,0.1749281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0022143,"about_ca_system_score_gemma":0.002776587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02812988,"about_ca_topic_score_gemma":0.04049448,"domain_scores_codex":[0.9987276,0.0002419971,0.00009901183,0.0004022855,0.0003049352,0.0002240999],"domain_scores_gemma":[0.9976516,0.0005883985,0.0002169148,0.0007587072,0.0004659083,0.0003184323],"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":[0.00005326652,0.00001398674,0.0002008337,0.0003684899,0.00002855497,0.000007733219,0.000006738552,0.0001754478,0.00006264407,0.0004131359,0.9977878,0.0008812724],"study_design_scores_gemma":[0.0005024272,0.00002511046,0.002137794,0.0002080314,0.00005113231,0.00004194325,0.00003444887,0.0006601923,0.0006011392,0.002921171,0.9927765,0.00004002283],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007551374,0.00008701249,0.00005699641,0.0000695624,0.00002669135,0.000007601993,0.9982429,0.000632917,0.0008009101],"genre_scores_gemma":[0.0003661744,0.000059248,0.0001912282,0.00006800536,0.00001073628,0.00004920055,0.9983986,0.0001528738,0.0007039374],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.865588,"threshold_uncertainty_score":0.4496529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01388955624005886,"score_gpt":0.2491207127606781,"score_spread":0.2352311565206193,"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."}}