{"id":"W4398893525","doi":"10.7910/dvn/v1rjpf/pneruu","title":"cbb20170303_03.txt.gz","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","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":["insufficient_payload"],"category_scores_codex":[0.001673329,0.004027213,0.002785903,0.006201994,0.001703824,0.006194149,0.005821615,0.004468696,0.3284504],"category_scores_gemma":[0.01125822,0.001421348,0.001976255,0.01115984,0.0009871799,0.003490002,0.004489891,0.00289401,0.4016858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002728,"about_ca_system_score_gemma":0.003404791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04328165,"about_ca_topic_score_gemma":0.058842,"domain_scores_codex":[0.9985631,0.0002778075,0.0001308249,0.0004502982,0.0002750337,0.0003030497],"domain_scores_gemma":[0.995955,0.001220354,0.0003027229,0.001014154,0.0009848929,0.000522884],"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":[0.00003378685,0.000007624138,0.000136296,0.0004554092,0.00001626767,0.000006570901,0.00001351728,0.00008966214,0.00004101119,0.0003332792,0.9983248,0.0005417643],"study_design_scores_gemma":[0.0003151246,0.00001641203,0.001133178,0.0004082878,0.00002800263,0.00002557974,0.00007239348,0.0002615641,0.0002279376,0.001826096,0.9956489,0.0000365312],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002456568,0.00004775239,0.00002712908,0.00007541844,0.00002620508,0.000004769315,0.9987368,0.0004569906,0.0006003322],"genre_scores_gemma":[0.00017975,0.00005600932,0.0001218634,0.00008495634,0.00001175414,0.00004690401,0.9985267,0.000248704,0.0007233036],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6715496,"threshold_uncertainty_score":0.957884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02661897538379172,"score_gpt":0.2587918372142936,"score_spread":0.2321728618305019,"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."}}