{"id":"W4248223389","doi":"10.32920/ryerson.14638248.v1","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":"Thermal; Computer science; Geography; Meteorology","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":[0.0002161458,0.0002866646,0.0001956249,0.0005070292,0.0001661476,0.0004512962,0.0002593347,0.0005297142,0.003746248],"category_scores_gemma":[0.0008988745,0.0001446146,0.0001126152,0.0004172623,0.0002744575,0.0004882189,0.000370509,0.0002318305,0.0005029358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001656837,"about_ca_system_score_gemma":0.0001640208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003764237,"about_ca_topic_score_gemma":0.0004664115,"domain_scores_codex":[0.9997385,0.00004887675,0.000006358357,0.00002813268,0.0001468369,0.00003128365],"domain_scores_gemma":[0.9997365,0.0001256631,0.00002658893,0.00002981928,0.00006647921,0.0000149517],"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":[0.0003102391,0.00003118936,0.0007948216,0.00009476404,0.000009117119,0.0003224118,0.00006688997,0.001141785,0.94612,0.002894224,0.0005181143,0.04769637],"study_design_scores_gemma":[0.00004668599,0.0001675644,0.009660154,0.00002766906,0.00002648754,0.003321231,0.0001586182,0.02724518,0.9468275,0.004466294,0.008025591,0.00002690933],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6595965,0.00426377,0.2739407,0.0008933583,0.000274169,0.0001316185,0.0002552426,0.0006565697,0.05998814],"genre_scores_gemma":[0.940706,0.0009997858,0.04815092,0.0001569582,0.00005852009,0.00004199048,0.00009701552,0.00005722032,0.009731589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003746248,"threshold_uncertainty_score":0.01253241,"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."}}