{"id":"W4386762084","doi":"10.1002/9781119799627.ch21","title":"Guiding Thermal Therapy with MR","year":2023,"lang":"en","type":"other","venue":"","topic":"Ultrasound and Hyperthermia Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Context (archaeology); Thermal ablation; Magnetic resonance imaging; Medical physics; Modality (human–computer interaction); Medicine; Radiation treatment planning; Ultrasound; Radiology; Computer science; Radiation therapy; Artificial intelligence","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":[0.0003690946,0.0005529554,0.0002624709,0.0006286396,0.0003225617,0.001432254,0.0003622915,0.0006313024,0.008763247],"category_scores_gemma":[0.000527155,0.0002347091,0.0002131973,0.0003943776,0.0003769477,0.0009345462,0.0005056681,0.0005229805,0.005064761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003572134,"about_ca_system_score_gemma":0.0005178667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007883061,"about_ca_topic_score_gemma":0.001848911,"domain_scores_codex":[0.9998247,0.00002911845,0.000009820025,0.00002896979,0.00009027839,0.0000172438],"domain_scores_gemma":[0.9998842,0.00003581421,0.00002474809,0.00001066419,0.00003656647,0.000007822456],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001680856,0.00006319473,0.0006894097,0.001156549,0.00002156742,0.0006903322,0.0003789467,0.004882567,0.3398265,0.02719226,0.03346711,0.5914636],"study_design_scores_gemma":[0.00003020475,0.0002232223,0.001058227,0.0004657956,0.00005349793,0.004548211,0.0001722342,0.01729342,0.2143921,0.007133885,0.7545642,0.00006509229],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.03331631,0.06916746,0.5869827,0.003566033,0.0009389222,0.0003615196,0.0004462967,0.005121103,0.3000997],"genre_scores_gemma":[0.2235337,0.07972202,0.5236051,0.00328129,0.0007995186,0.0003900811,0.0006834407,0.001287265,0.1666976],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.008763247,"threshold_uncertainty_score":0.02931601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01951860811198685,"score_gpt":0.2087265503111312,"score_spread":0.1892079421991443,"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."}}