{"id":"W4387903956","doi":"10.3390/app132111612","title":"Integrated Artificial Intelligence in Data Science","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brandon University","funders":"Eesti Teadusagentuur","keywords":"Computer science; Everyday life; Artificial intelligence; Data science; Epistemology; Philosophy","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":[0.007175078,0.0008458087,0.001745823,0.003656133,0.001058171,0.01068157,0.002237247,0.002618071,0.007487434],"category_scores_gemma":[0.0124506,0.0007521692,0.0009893851,0.006349726,0.004848375,0.01332426,0.006207925,0.005324722,0.002625168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002346127,"about_ca_system_score_gemma":0.003452301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001650576,"about_ca_topic_score_gemma":0.001400472,"domain_scores_codex":[0.9934952,0.002358797,0.0006321248,0.00095311,0.002347505,0.0002134537],"domain_scores_gemma":[0.9900631,0.005385326,0.0003335394,0.002304614,0.001555087,0.0003583318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005379693,0.00009135932,0.0008982708,0.0008299442,0.0001842665,0.0001166821,0.000334783,0.005235057,0.0007006312,0.7500287,0.02060618,0.2209204],"study_design_scores_gemma":[0.00001481104,0.00003570987,0.0003480731,0.0003573285,0.00004320697,0.00009838031,0.0001100323,0.01444375,0.0006404819,0.8391635,0.1447167,0.00002812129],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005977236,0.1175702,0.7287194,0.04658176,0.004077575,0.0002630944,0.0007928418,0.001975424,0.09404241],"genre_scores_gemma":[0.2325178,0.1021393,0.6068649,0.01274885,0.007251351,0.0007461671,0.002400749,0.0006362209,0.0346946],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01068157,"threshold_uncertainty_score":0.03794587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1216742304635508,"score_gpt":0.3516701493092146,"score_spread":0.2299959188456639,"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."}}