{"id":"W53179181","doi":"","title":"Impact of Implementing an Evidence-Based Decision Support Tool for Reducing Inappropriate Medical Imaging Services","year":2008,"lang":"en","type":"article","venue":"ResearchOnline - ND (The University of Notre Dame Australia)","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Decision support system; Medical imaging; Clinical decision support system; Computer science; Risk analysis (engineering); Process management; Business; Data mining; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.09897257,0.001528552,0.001698521,0.006883979,0.001260611,0.008695772,0.003505112,0.005623963,0.007372683],"category_scores_gemma":[0.3288925,0.0008207881,0.003823163,0.003161127,0.0008987449,0.00483101,0.005713395,0.004417571,0.0009589216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004247422,"about_ca_system_score_gemma":0.02421795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0017822,"about_ca_topic_score_gemma":0.002447898,"domain_scores_codex":[0.8462739,0.1118247,0.01587214,0.002759136,0.02035605,0.002914059],"domain_scores_gemma":[0.6389229,0.2970684,0.02565309,0.00591384,0.01869733,0.01374438],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.009058069,0.01620568,0.04097849,0.02227353,0.004065283,0.0005929037,0.001865907,0.01396684,0.0006986675,0.004724104,0.03329131,0.8522792],"study_design_scores_gemma":[0.06510736,0.06065743,0.2151931,0.2323352,0.0231994,0.001728814,0.01042408,0.1311177,0.01119956,0.04275512,0.2045418,0.001740301],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4601436,0.02952808,0.04762674,0.3419975,0.007346862,0.02750176,0.003375207,0.002303554,0.08017664],"genre_scores_gemma":[0.7585171,0.00744322,0.2050596,0.01898488,0.001078814,0.006240771,0.001073805,0.00009118189,0.001510626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09897257,"threshold_uncertainty_score":0.5234233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1046718381157034,"score_gpt":0.4133779875618802,"score_spread":0.3087061494461768,"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."}}