{"id":"W4413491543","doi":"10.1007/978-3-031-97788-6_30","title":"Data Analytics","year":2025,"lang":"en","type":"book-chapter","venue":"Health information technology standards","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Analytics; Computer science; Data analysis; Data science; Data mining","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009276148,0.000347263,0.0005185136,0.002086901,0.0003369937,0.0002723716,0.001529418,0.0006847602,0.001064225],"category_scores_gemma":[0.0004300721,0.0003388012,0.0000494281,0.000474342,0.0002186981,0.003003677,0.001471066,0.000686786,0.0007395276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002690937,"about_ca_system_score_gemma":0.000992622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007744764,"about_ca_topic_score_gemma":0.00019136,"domain_scores_codex":[0.9976289,0.000001728125,0.001013173,0.0003301716,0.000654122,0.0003718749],"domain_scores_gemma":[0.9961125,0.00001853103,0.001079435,0.001732122,0.001041787,0.0000156666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008702221,0.000002720901,0.00001182103,0.0005973848,0.00001885009,7.198046e-7,0.000001820805,0.00000148413,9.577644e-9,0.4181893,0.3793829,0.2017843],"study_design_scores_gemma":[0.0001497113,0.000009735979,0.000005950368,0.0004686057,0.00004402767,0.000003473642,0.00003007183,0.001521976,9.205792e-7,0.03655318,0.9609478,0.0002645697],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[6.923032e-7,0.0009079861,0.0540105,0.0212038,0.001184825,0.0005741973,0.006630847,0.0008512508,0.9146359],"genre_scores_gemma":[0.002238399,0.01445036,0.01040956,0.1302305,0.004530866,0.0001319391,0.1075019,0.0002982733,0.7302083],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5815649,"threshold_uncertainty_score":0.9999064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09219782751930455,"score_gpt":0.3476084488648601,"score_spread":0.2554106213455555,"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."}}