{"id":"W4402480488","doi":"10.1007/978-3-031-63402-4_36","title":"Candidate Performance Prediction—A Detailed Analysis Using Predictive Analytics Workbench","year":2024,"lang":"en","type":"book-chapter","venue":"Studies in systems, decision and control","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Workbench; Analytics; Computer science; Predictive analytics; Data mining; Data science; Visualization","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007186712,0.0003862791,0.00103897,0.0008077059,0.000265311,0.0003377558,0.000535144,0.0001956021,0.000006965198],"category_scores_gemma":[0.00004666976,0.0003105411,0.0001593321,0.0005752044,0.0001593427,0.0002564229,0.0004520772,0.0003607844,0.00002669148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002299322,"about_ca_system_score_gemma":0.00008281339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001981494,"about_ca_topic_score_gemma":0.00008463101,"domain_scores_codex":[0.9973173,0.00003020295,0.0009060901,0.0009149562,0.0005497367,0.0002817006],"domain_scores_gemma":[0.9980584,0.0004077228,0.0003063387,0.0008253896,0.0002966542,0.000105505],"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":[0.000473562,0.0003086168,0.026136,0.002393763,0.06535262,0.0009512441,0.01545426,0.1137083,0.00002074593,0.3650081,0.02383746,0.3863554],"study_design_scores_gemma":[0.000495436,0.00007384395,0.0003772207,0.001105602,0.001245695,0.00002343873,0.0002965228,0.9784849,2.313967e-7,0.002153707,0.01544181,0.0003016382],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001696982,0.07128609,0.8946773,0.0001182556,0.002949535,0.001433644,0.00123698,0.0002857593,0.02631549],"genre_scores_gemma":[0.8791147,0.01818743,0.007830784,0.0001358143,0.0008532628,0.000335264,0.00008975387,0.00008771316,0.09336524],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8868465,"threshold_uncertainty_score":0.9999347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04109588983480728,"score_gpt":0.3064838129333459,"score_spread":0.2653879230985386,"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."}}