{"id":"W6889233024","doi":"10.25545/4upj00/ubxuhr","title":"forward_pass.m","year":2023,"lang":"en","type":"dataset","venue":"UNB Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Process (computing); Identification (biology); Product (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":[],"category_scores_codex":[0.001715447,0.006597809,0.00239665,0.005146711,0.001839256,0.005335066,0.005010641,0.004411853,0.2742475],"category_scores_gemma":[0.009585144,0.002165132,0.003211802,0.005697803,0.0009179973,0.004762503,0.00395098,0.002856867,0.4022164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002125803,"about_ca_system_score_gemma":0.002813088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01744683,"about_ca_topic_score_gemma":0.02749322,"domain_scores_codex":[0.9981259,0.0003091051,0.000137569,0.0008156574,0.0003301043,0.0002818175],"domain_scores_gemma":[0.9972854,0.0007758947,0.0001144856,0.001119328,0.0004987291,0.0002062523],"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":[0.00007988258,0.00001904284,0.0001823736,0.000440701,0.00003167606,0.00001306298,0.00002110067,0.0001657655,0.0001581158,0.0003579447,0.9959219,0.002608484],"study_design_scores_gemma":[0.0003450747,0.00005093827,0.001068802,0.0002367477,0.00003642234,0.00006691981,0.00008358588,0.001346439,0.001635505,0.002647098,0.9924292,0.00005326949],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002158152,0.0001897765,0.0003989713,0.0001911741,0.0001513987,0.00003077536,0.9823858,0.01332438,0.003111934],"genre_scores_gemma":[0.0008220487,0.0001150707,0.00122798,0.0001517859,0.0000315394,0.0001156925,0.9928202,0.002348673,0.002366944],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7257525,"threshold_uncertainty_score":0.9174492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03305022638772539,"score_gpt":0.292539156372102,"score_spread":0.2594889299843766,"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."}}