{"id":"W4308238721","doi":"10.1109/ccece49351.2022.9918388","title":"Program","year":2022,"lang":"en","type":"article","venue":"","topic":"Machine Learning and Data Classification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Carleton University; University of British Columbia","funders":"","keywords":"NIST; Computer science; Process (computing); Relation (database); Quality (philosophy); Engineering management; Compatibility (geochemistry); Engineering; Database","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":[0.002187887,0.001211848,0.000722785,0.001111955,0.0007819594,0.003569057,0.003329332,0.001462033,0.2319655],"category_scores_gemma":[0.007099944,0.0005343627,0.001856892,0.001076426,0.000625535,0.003257722,0.003078075,0.002017561,0.09705354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001286693,"about_ca_system_score_gemma":0.002011511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001344967,"about_ca_topic_score_gemma":0.001697945,"domain_scores_codex":[0.9985147,0.0004415192,0.00007600065,0.0005285054,0.0002950515,0.0001442528],"domain_scores_gemma":[0.9974751,0.0008895214,0.0001219998,0.0007703285,0.0005736317,0.0001694175],"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":[0.0004711055,0.0002376258,0.00150881,0.0010229,0.0001782834,0.0001529394,0.000258814,0.01174902,0.001983329,0.2619334,0.3632026,0.357301],"study_design_scores_gemma":[0.0001525838,0.00008046853,0.00046827,0.0002223172,0.00007213152,0.0002415252,0.00009764897,0.03582978,0.005064462,0.1662778,0.7914533,0.00003970313],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.003041435,0.0009667039,0.743085,0.004418612,0.001017443,0.0008717889,0.01449371,0.04705313,0.1850522],"genre_scores_gemma":[0.07497025,0.001464875,0.6182912,0.004063725,0.0006218163,0.003222895,0.034539,0.01428631,0.24854],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7680345,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01314066934090749,"score_gpt":0.270739311971883,"score_spread":0.2575986426309755,"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."}}