{"id":"W4253593779","doi":"10.32920/ryerson.14664081","title":"Biomedical applications of photoacoustics for thermal therapy","year":2021,"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","funders":"","keywords":"Imaging phantom; Photoacoustic imaging in biomedicine; Transducer; Materials science; Biomedical engineering; Laser; Gelatin; Wavelength; Optics; Acoustics; Optoelectronics; Medicine; Chemistry; 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":[0.0004040526,0.0004435001,0.0002249101,0.0004222003,0.0002848132,0.0007453081,0.0003702715,0.0007758507,0.003387494],"category_scores_gemma":[0.000523355,0.00023633,0.0002926387,0.0002860643,0.0008609425,0.0007792083,0.0005156015,0.0008200782,0.0007155976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003639877,"about_ca_system_score_gemma":0.0002353581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001773356,"about_ca_topic_score_gemma":0.000239667,"domain_scores_codex":[0.9997383,0.00004423932,0.000008026539,0.00006267439,0.0001227222,0.00002408507],"domain_scores_gemma":[0.9996403,0.000198179,0.00004634125,0.00003558088,0.00005458412,0.00002494705],"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":[0.00005347896,0.00002434271,0.0001985734,0.0002447424,0.00001006806,0.0001256517,0.00008663761,0.001043819,0.9561721,0.005764253,0.0004014296,0.03587496],"study_design_scores_gemma":[0.00001426877,0.0003605737,0.001142544,0.00006089371,0.00002762605,0.001436751,0.00009263275,0.009274328,0.9357438,0.004217023,0.04759148,0.00003806625],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2258223,0.1105253,0.6011738,0.004824628,0.001468914,0.0001642077,0.0001413221,0.00216667,0.05371295],"genre_scores_gemma":[0.8319445,0.02484977,0.1307628,0.0006072758,0.0004382743,0.0001047076,0.00004943027,0.00009773501,0.01114549],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003387494,"threshold_uncertainty_score":0.01133227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01337852551102036,"score_gpt":0.2458332422924043,"score_spread":0.232454716781384,"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."}}