{"id":"W4398826211","doi":"10.7910/dvn/v1rjpf/xxu9aj","title":"blc20150323_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":"Mathematics","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":[0.001762855,0.0038605,0.002699041,0.005605242,0.001587937,0.005749527,0.005531903,0.00442863,0.3141186],"category_scores_gemma":[0.01107306,0.00136098,0.00202393,0.009954317,0.00099038,0.003446667,0.004205567,0.002749125,0.3942959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002667339,"about_ca_system_score_gemma":0.003170461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03619989,"about_ca_topic_score_gemma":0.05240233,"domain_scores_codex":[0.9984988,0.0003053972,0.0001336975,0.0004669036,0.0002769804,0.0003182987],"domain_scores_gemma":[0.9961366,0.001140572,0.0003122841,0.0009908981,0.0009416639,0.0004779417],"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":[0.00003310766,0.000007312548,0.0001440013,0.0004219735,0.0000176445,0.000006010189,0.00001205479,0.0001023158,0.00003808339,0.0003054473,0.9983519,0.0005601645],"study_design_scores_gemma":[0.0003412037,0.00001959664,0.001220426,0.0003911701,0.0000317932,0.00002804766,0.00006908663,0.000296147,0.0002397387,0.00199172,0.9953325,0.00003850384],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002590931,0.00004976602,0.00002841888,0.00008193199,0.00002968345,0.000004785958,0.9987546,0.0004375767,0.0005871747],"genre_scores_gemma":[0.0001872506,0.00005468689,0.0001144998,0.00009143409,0.00001384219,0.00004549633,0.9985251,0.0002164229,0.0007512625],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6858814,"threshold_uncertainty_score":0.9783266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02594609647102481,"score_gpt":0.2568505698639111,"score_spread":0.2309044733928863,"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."}}