{"id":"W4315816035","doi":"10.1109/icjece.2022.3223598","title":"Table of Contents","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Electrical and Computer Engineering","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Table (database); Computer science; Database","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007267853,0.000936318,0.001061543,0.003596511,0.001509388,0.005174673,0.001717611,0.001094374,0.8255562],"category_scores_gemma":[0.008397708,0.0003875947,0.000625841,0.002938178,0.0004186143,0.002392933,0.001710883,0.001399424,0.7427754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001641868,"about_ca_system_score_gemma":0.002950344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00335865,"about_ca_topic_score_gemma":0.003370942,"domain_scores_codex":[0.9991841,0.00008624329,0.00005074775,0.0001687016,0.0004575764,0.00005256208],"domain_scores_gemma":[0.9955662,0.0008233843,0.0002046708,0.000503883,0.002357426,0.0005442842],"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":[0.00002984483,0.00002603535,0.0001887749,0.0003035673,0.000005382447,0.000041526,0.00001924621,0.000210135,0.000290134,0.0029046,0.9289856,0.06699515],"study_design_scores_gemma":[0.000005784753,0.0000153438,0.0003140536,0.0001525101,0.000004930062,0.00008023682,0.00002235925,0.0001070531,0.0001573096,0.001400446,0.9977336,0.000006316336],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000938658,0.007028257,0.008540867,0.005330165,0.01803307,0.000792162,0.04758949,0.005113911,0.9066334],"genre_scores_gemma":[0.005671221,0.006299185,0.005138333,0.003095024,0.006962103,0.0004217636,0.03934526,0.002087293,0.9309797],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1744438,"threshold_uncertainty_score":0.2488229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006487567758945227,"score_gpt":0.1631823007312208,"score_spread":0.1566947329722755,"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."}}