{"id":"W4297239764","doi":"10.32920/ryerson.14638248.v2","title":"Optoacoustic Detection of Thermal Lesions","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Prince Edward Island","funders":"","keywords":"SIGNAL (programming language); Biomedical engineering; Laser; Materials science; Nuclear medicine; Nuclear magnetic resonance; Chemistry; 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":[0.0001764007,0.0002197622,0.000140813,0.0004307599,0.0001030167,0.0003108573,0.0001851551,0.0003708731,0.00179161],"category_scores_gemma":[0.0004512642,0.0001317444,0.00008476027,0.0002862339,0.0003152472,0.0003000291,0.0001865233,0.0002562526,0.0003307535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001916008,"about_ca_system_score_gemma":0.0001487344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005990775,"about_ca_topic_score_gemma":0.0006295026,"domain_scores_codex":[0.9998013,0.00003237455,0.00000605652,0.00005335406,0.00008140186,0.0000254466],"domain_scores_gemma":[0.9998055,0.00007657517,0.00003970467,0.00002082929,0.00004380156,0.00001354534],"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":[0.00005087777,0.000006098422,0.0004375162,0.00002415624,0.000002480749,0.00004158618,0.00002470947,0.0001653969,0.9921613,0.0001365038,0.00006714091,0.006882217],"study_design_scores_gemma":[0.000008004569,0.0001061677,0.01492691,0.000006858919,0.00001080836,0.0006529405,0.00007328162,0.005990086,0.9759947,0.0002512081,0.001967139,0.00001188595],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9172316,0.001928588,0.07236467,0.0001422925,0.00006434858,0.00003195731,0.0001772505,0.0003122257,0.00774698],"genre_scores_gemma":[0.9745464,0.0005825431,0.02203232,0.00005258746,0.00001561667,0.00002724125,0.0001179322,0.00003281034,0.002592537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00179161,"threshold_uncertainty_score":0.005993485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01112998799662958,"score_gpt":0.2218376202409535,"score_spread":0.2107076322443239,"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."}}