{"id":"W2787390697","doi":"10.4018/978-1-4666-5202-6.ch165","title":"Performance Measures and RTB Optimization","year":2014,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Imbalanced Data Classification Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.005053909,0.001695884,0.001684095,0.003165476,0.0006577568,0.004499318,0.001661523,0.001287353,0.03941949],"category_scores_gemma":[0.02650028,0.0005082657,0.0008131198,0.006371408,0.0007113127,0.003366278,0.001506537,0.002190444,0.02145611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00185778,"about_ca_system_score_gemma":0.001554994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0020673,"about_ca_topic_score_gemma":0.001896387,"domain_scores_codex":[0.9953623,0.001743477,0.0002360643,0.0006142356,0.001708062,0.000335937],"domain_scores_gemma":[0.9921771,0.004242501,0.0005799419,0.001428046,0.001353603,0.0002189681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003237695,0.0001943155,0.001904892,0.0007382047,0.0001274657,0.00006143035,0.00009299257,0.09980314,0.003613918,0.06972971,0.1276063,0.6958039],"study_design_scores_gemma":[0.00006485647,0.0003619264,0.004175972,0.0004721594,0.0001136615,0.0002921885,0.0002204698,0.7239937,0.009492591,0.1747241,0.08600468,0.00008378537],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01423082,0.02073232,0.8419126,0.003924294,0.001208326,0.0002654963,0.004788909,0.008444631,0.1044925],"genre_scores_gemma":[0.3864589,0.01414568,0.4954798,0.0009920676,0.001587354,0.001031323,0.01043553,0.01081944,0.07905003],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03941949,"threshold_uncertainty_score":0.1318713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02056868595723583,"score_gpt":0.231153732107716,"score_spread":0.2105850461504802,"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."}}