{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001185558,0.00001713484,0.00001632594,0.00002057349,0.0001289813,0.00004068998,0.000362985,0.000002554679,0.0001901565],"category_scores_gemma":[0.000006717784,0.0000152478,0.000008418305,0.0001547454,0.000002934955,0.00007332048,0.0002292141,0.00006027403,0.000052016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008133323,"about_ca_system_score_gemma":0.00001107209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001403857,"about_ca_topic_score_gemma":5.963932e-7,"domain_scores_codex":[0.9996845,0.00003352793,0.0000332107,0.00009883258,0.00009764716,0.0000522575],"domain_scores_gemma":[0.9997279,0.000008832923,0.00001236117,0.0002311777,0.000004699412,0.00001502566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[2.521549e-7,0.00004016975,0.0006043974,4.367754e-7,6.155115e-7,7.979791e-7,0.00004634151,0.00004873689,0.00003496289,0.3677201,0.00742412,0.6240791],"study_design_scores_gemma":[0.00003581976,0.00005451533,0.004957242,6.937893e-8,2.038032e-7,0.000005979101,0.0000128583,0.1425099,0.00001504475,0.0008321016,0.8515463,0.00002994005],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002721926,0.00003073324,0.7785841,0.01092757,0.0002701233,0.0001478251,9.743616e-7,0.001488541,0.2058282],"genre_scores_gemma":[0.8915847,5.306472e-7,0.1026493,0.0004997854,0.00001280597,0.0000859701,0.00001136732,0.000001628947,0.005153843],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8888628,"threshold_uncertainty_score":0.208208,"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."}}