{"id":"W74258357","doi":"10.3233/978-1-58603-979-0-136","title":"Findings from Evaluations of the Benefits of Diagnostic Imaging Systems","year":2009,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Health Infoway","funders":"","keywords":"Computer science; Medical imaging; Medical physics; Medicine; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.03035055,0.0004639085,0.0005907253,0.003548642,0.003364992,0.003337085,0.001101274,0.0006873257,0.002609026],"category_scores_gemma":[0.149427,0.0002778232,0.0009167123,0.006706337,0.00209989,0.001867717,0.002350251,0.0009494514,0.0001717138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04376601,"about_ca_system_score_gemma":0.04810176,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.763724,"about_ca_topic_score_gemma":0.8003743,"domain_scores_codex":[0.9492866,0.01266496,0.003143461,0.001432802,0.0307035,0.002768777],"domain_scores_gemma":[0.8002176,0.08839032,0.01802244,0.004539587,0.08305159,0.005778338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00353488,0.001213817,0.7021125,0.003577015,0.0008049581,0.0004797161,0.03429846,0.002426514,0.0009504287,0.006001295,0.01384449,0.230756],"study_design_scores_gemma":[0.0001051948,0.0009341385,0.9436104,0.001232906,0.0005091874,0.0001465979,0.02960183,0.001271694,0.001493824,0.0005490601,0.0204594,0.00008582611],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.9143765,0.003132029,0.0006301653,0.003713001,0.00003695098,0.001003911,0.002286041,0.00005408152,0.07476731],"genre_scores_gemma":[0.9958469,0.0009211653,0.0007342301,0.000263902,0.00001174594,0.0001185988,0.0005428463,0.00001114872,0.001549496],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.763724,"threshold_uncertainty_score":0.475335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03701426021499797,"score_gpt":0.3685709768012955,"score_spread":0.3315567165862975,"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."}}