{"id":"W4398931416","doi":"10.7910/dvn/v1rjpf/4bvzmp","title":"cbb20160723_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":[0.00164318,0.003838762,0.002678267,0.006006322,0.001656594,0.006051628,0.005821764,0.004284221,0.3237977],"category_scores_gemma":[0.01126623,0.001365381,0.002002128,0.01111676,0.0009942785,0.003285231,0.004461151,0.002842569,0.3919625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002728321,"about_ca_system_score_gemma":0.003361538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04562849,"about_ca_topic_score_gemma":0.06480796,"domain_scores_codex":[0.9985613,0.0002756508,0.0001315973,0.0004553316,0.0002713035,0.0003047201],"domain_scores_gemma":[0.9960135,0.001160177,0.0003120639,0.001002914,0.0009985841,0.0005128639],"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":[0.00003133225,0.000007052255,0.0001342912,0.0004364946,0.00001664291,0.000005904147,0.00001267606,0.00008697363,0.00003892826,0.000319596,0.9983568,0.0005533671],"study_design_scores_gemma":[0.0003134602,0.00001620622,0.001167291,0.0004097679,0.00002913977,0.0000253114,0.00007249007,0.0002465555,0.0002174135,0.001803332,0.9956632,0.00003575473],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002539521,0.00005077978,0.00002643564,0.00007870216,0.00002866624,0.000004695406,0.998776,0.0004108666,0.0005984596],"genre_scores_gemma":[0.0001858941,0.00005913628,0.0001250659,0.00009136819,0.00001280083,0.0000468026,0.9984471,0.0002335112,0.00079825],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6762023,"threshold_uncertainty_score":0.9645206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02449321286709313,"score_gpt":0.2544223249250167,"score_spread":0.2299291120579235,"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."}}