{"id":"W4398463255","doi":"10.7910/dvn/hbikkv/xow480","title":"RunB.coldat","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"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":[0.001974097,0.005073031,0.002198929,0.007041069,0.001408569,0.004897531,0.004797195,0.004313084,0.1826406],"category_scores_gemma":[0.01222732,0.001353301,0.00318651,0.007643414,0.0009388882,0.002194201,0.003377343,0.002587711,0.2217145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001758532,"about_ca_system_score_gemma":0.002921171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02397184,"about_ca_topic_score_gemma":0.03538506,"domain_scores_codex":[0.9984366,0.0003539886,0.0001486419,0.0005077197,0.0003009278,0.0002520783],"domain_scores_gemma":[0.9950363,0.001586184,0.0003780859,0.001686044,0.0006953189,0.000618035],"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":[0.00005229442,0.00001943469,0.0003930285,0.000504584,0.00004242134,0.000009507006,0.00001469178,0.0003573786,0.00003969921,0.0003906502,0.996929,0.001247258],"study_design_scores_gemma":[0.0008507256,0.0000512689,0.002346643,0.0005817855,0.0001007695,0.00005418645,0.0000930828,0.001767107,0.0004134392,0.005094848,0.988581,0.00006525041],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009241571,0.00006387593,0.00007262631,0.00008796085,0.00004454915,0.000009221563,0.9978866,0.001198734,0.0005439044],"genre_scores_gemma":[0.0004433893,0.00006790112,0.0003118294,0.00009068584,0.00001702958,0.00006344086,0.9980516,0.0003317175,0.0006224463],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8173594,"threshold_uncertainty_score":0.6109936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1126167502339864,"score_gpt":0.3865479372720848,"score_spread":0.2739311870380984,"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."}}