{"id":"W6907794613","doi":"10.25545/4upj00/mlpe4u","title":"backward_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":["insufficient_payload"],"category_scores_codex":[0.001551225,0.006084574,0.002166925,0.004517137,0.001759633,0.005376423,0.004304613,0.003672467,0.3412899],"category_scores_gemma":[0.009368419,0.002370135,0.003303592,0.004927654,0.0008544298,0.00551418,0.004353047,0.00271209,0.4220065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002113444,"about_ca_system_score_gemma":0.002438305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01431624,"about_ca_topic_score_gemma":0.02300049,"domain_scores_codex":[0.9983079,0.000249603,0.0001176875,0.0008103369,0.0002853085,0.0002291699],"domain_scores_gemma":[0.9977055,0.0006949119,0.00008371177,0.0009720126,0.0004083844,0.0001354352],"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":[0.00009752251,0.00001980778,0.0002291149,0.0004372699,0.00003688242,0.00001562803,0.00002884237,0.0002132014,0.0002090139,0.0006609949,0.9933329,0.004718819],"study_design_scores_gemma":[0.0002773854,0.00004185023,0.0009806183,0.0002187033,0.00003145265,0.00006573631,0.00008340312,0.002041056,0.002352302,0.004555151,0.9893003,0.00005208817],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003671556,0.0002865647,0.001533445,0.0003047994,0.0002370631,0.00004913572,0.9479474,0.04158099,0.007693355],"genre_scores_gemma":[0.001985942,0.0001954486,0.003921858,0.0002780201,0.00005879589,0.0001817285,0.9783598,0.009420277,0.005598057],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6587101,"threshold_uncertainty_score":0.9395701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03640249125124543,"score_gpt":0.2922906508304787,"score_spread":0.2558881595792332,"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."}}