{"id":"W2135272289","doi":"10.1186/2050-5736-1-7","title":"MatMRI and MatHIFU: software toolboxes for real-time monitoring and control of MR-guided HIFU","year":2013,"lang":"en","type":"article","venue":"Journal of Therapeutic Ultrasound","topic":"Ultrasound and Hyperthermia Applications","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University; Philips (Canada); Hospital for Sick Children; Thunder Bay Regional Research Institute","funders":"","keywords":"Protocol (science); Software; Computer science; Magnetic resonance imaging; Scanner; Medicine; Medical physics; Artificial intelligence; Radiology; Pathology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001950738,0.0001556149,0.0003548709,0.00007907009,0.00006729114,0.00007853905,0.0001269965,0.00008512081,0.00005478622],"category_scores_gemma":[0.00004741647,0.0001277803,0.00008815012,0.00006300948,0.00007092648,0.0002257991,0.00000587395,0.0001166895,0.000004499696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003027949,"about_ca_system_score_gemma":0.00001854886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001574937,"about_ca_topic_score_gemma":5.305198e-7,"domain_scores_codex":[0.9991215,0.00001864835,0.00044121,0.00009402267,0.0001371472,0.0001874198],"domain_scores_gemma":[0.9986086,0.0008298144,0.0001667774,0.0001376884,0.0001605249,0.0000965198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00002171207,0.0000380052,0.008640761,0.000129722,0.0003584009,4.939553e-7,0.000575974,0.0002002576,0.983381,0.0001669639,0.000221017,0.006265683],"study_design_scores_gemma":[0.02264823,0.002412245,0.520836,0.001600735,0.003746608,0.00457156,0.00421478,0.006712577,0.3099,0.0872388,0.03274747,0.003370961],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9833696,0.0027628,0.01308364,0.0001492324,0.0001262222,0.0003217984,0.00002312788,0.00004584788,0.0001177177],"genre_scores_gemma":[0.9881312,0.001528358,0.00995597,0.00002998567,0.0001879644,0.00002259368,0.000001170155,0.00003811038,0.0001046295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.673481,"threshold_uncertainty_score":0.5210727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01197716571261504,"score_gpt":0.2326332979094986,"score_spread":0.2206561321968836,"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."}}