{"id":"W4234678467","doi":"10.32920/ryerson.14638248","title":"Optoacoustic Detection of Thermal Lesions","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Prince Edward Island","funders":"","keywords":"SIGNAL (programming language); Laser; Biomedical engineering; Materials science; Nuclear medicine; Chemistry; Nuclear magnetic resonance; Optics; Medicine; Physics","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":[0.000176309,0.0002210361,0.0001427043,0.0004354525,0.000103044,0.0003149171,0.0001868075,0.0003725242,0.001830107],"category_scores_gemma":[0.0004561402,0.0001318295,0.0000851873,0.0002906401,0.000314924,0.0003038232,0.0001886154,0.0002568303,0.00033794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001915898,"about_ca_system_score_gemma":0.0001490316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005928662,"about_ca_topic_score_gemma":0.0006158301,"domain_scores_codex":[0.9998005,0.00003235072,0.000006054268,0.00005346087,0.00008221388,0.00002544279],"domain_scores_gemma":[0.9998059,0.0000769098,0.00003940043,0.00002104908,0.00004342061,0.00001337591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005300804,0.000006289306,0.0004518385,0.00002549266,0.000002604639,0.00004358489,0.00002596687,0.0001779718,0.9916769,0.000148849,0.00007215703,0.00731543],"study_design_scores_gemma":[0.00000823562,0.0001054731,0.01519664,0.000007088946,0.00001108008,0.0006673092,0.00007499108,0.006366771,0.9752069,0.0002723842,0.002070871,0.00001228469],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9140182,0.001956058,0.07517932,0.0001462503,0.00006632136,0.00003280691,0.000186304,0.0003280002,0.008086773],"genre_scores_gemma":[0.9737912,0.0005948639,0.02270408,0.00005215102,0.00001592701,0.00002775966,0.0001236542,0.00003449813,0.002655802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001830107,"threshold_uncertainty_score":0.006122291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01018748500877359,"score_gpt":0.2132874473878155,"score_spread":0.2030999623790419,"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."}}