{"id":"W4398711633","doi":"10.7910/dvn/1pc3lo/gfo8ey","title":"GB forecasts to compare with CBO 2016 Aug alt.tab","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","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":[0.0007634738,0.001996869,0.00110174,0.003294759,0.0005479457,0.002179486,0.002141932,0.001794475,0.04726586],"category_scores_gemma":[0.005146096,0.0005327925,0.001309967,0.005480784,0.0004463528,0.001897848,0.001329117,0.001871996,0.0581569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001575439,"about_ca_system_score_gemma":0.001465407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07351644,"about_ca_topic_score_gemma":0.09671851,"domain_scores_codex":[0.9993836,0.0000895101,0.00006195544,0.0001552535,0.0001871715,0.0001225344],"domain_scores_gemma":[0.9984902,0.0002825645,0.0001347943,0.0004105785,0.0005708864,0.000111036],"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":[0.00004627346,0.00001219102,0.0009002531,0.0001895995,0.00003289175,0.0000101897,0.00001088151,0.001225602,0.00004921549,0.0004719997,0.9954253,0.001625582],"study_design_scores_gemma":[0.0003070199,0.0000223107,0.007721598,0.0002558365,0.00004082231,0.00004006111,0.0001497016,0.00386939,0.0004983736,0.002699188,0.9843401,0.0000555588],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004753784,0.00009118355,0.00007125628,0.0001373578,0.0001176224,0.00000528529,0.9968495,0.0007508273,0.001501556],"genre_scores_gemma":[0.001941196,0.00006404977,0.0002232008,0.00004261653,0.00002740068,0.00002322179,0.9963934,0.0001949828,0.001090005],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9527341,"threshold_uncertainty_score":0.15812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02938315589268446,"score_gpt":0.266102020520826,"score_spread":0.2367188646281415,"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."}}