{"id":"W2463096213","doi":"","title":"Advanced Biomedical Ultrasound Imaging and Therapy Laboratory","year":2016,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Ultrasound and Hyperthermia Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Canadian Cancer Society Research Institute; Canadian Institutes of Health Research; Terry Fox Foundation; Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Ultrasound; Diagnostic ultrasound; Ultrasound imaging; Medical physics; Scope (computer science); Therapeutic ultrasound; Medicine; Biomedical engineering; Preclinical research; Engineering; Computer science; Radiology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.002405438,0.0008799214,0.001269888,0.001740981,0.002915736,0.002643934,0.002613357,0.001432996,0.05428058],"category_scores_gemma":[0.00359597,0.0005755967,0.0004828746,0.001014997,0.001437565,0.001261092,0.002097387,0.001796783,0.02886157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004876443,"about_ca_system_score_gemma":0.01906791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02382091,"about_ca_topic_score_gemma":0.02991858,"domain_scores_codex":[0.9943898,0.0003972477,0.0001688207,0.001126097,0.003547684,0.0003703933],"domain_scores_gemma":[0.9937069,0.0004779593,0.0002192156,0.0005386453,0.004121365,0.0009359146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00176592,0.0005451794,0.006195734,0.001558005,0.00006954686,0.001333183,0.0009454224,0.001733478,0.393915,0.03221215,0.2301457,0.3295806],"study_design_scores_gemma":[0.0001591101,0.0007538323,0.003797784,0.0001405196,0.00005620546,0.002752784,0.0001921447,0.004936908,0.09360436,0.001212412,0.8922973,0.00009681656],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.07573833,0.01765161,0.5040648,0.01327791,0.007247486,0.007398475,0.008265872,0.03288047,0.333475],"genre_scores_gemma":[0.1935973,0.005831251,0.3314543,0.006668853,0.001190547,0.003393056,0.01059222,0.001367297,0.4459053],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05428058,"threshold_uncertainty_score":0.1815866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004025255753632264,"score_gpt":0.1873107920451322,"score_spread":0.1832855362914999,"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."}}