{"id":"W4248104820","doi":"10.32920/ryerson.14639223","title":"Photoacoustic Detection of Protein Coagulation in Albumen-based Phantoms","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Health PEI; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Photoacoustic imaging in biomedicine; Materials science; Photoacoustic Doppler effect; Laser; Photoacoustic effect; Wavelength; Optics; Optical parametric oscillator; Absorption (acoustics); Coagulation; Photoacoustic spectroscopy; SIGNAL (programming language); Biomedical engineering; Thermal; Optoelectronics; Medicine; Physics; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004046253,0.000581687,0.0002985172,0.0004434532,0.0001645384,0.0004011646,0.000296748,0.0004486653,0.0008498463],"category_scores_gemma":[0.0008752913,0.000182974,0.0001649704,0.0003453126,0.0006602039,0.000397015,0.0004013519,0.000455097,0.0002055169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003264224,"about_ca_system_score_gemma":0.0002576699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004565121,"about_ca_topic_score_gemma":0.0003062437,"domain_scores_codex":[0.9998145,0.0000428536,0.000007759456,0.00003639912,0.00006832604,0.0000302763],"domain_scores_gemma":[0.9995205,0.0002407504,0.0001253212,0.0000293545,0.00004746791,0.00003654021],"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":[0.00004162339,0.00000539468,0.00005785884,0.00001738951,0.00000147369,0.0000315234,0.00002211918,0.0001770582,0.9991641,0.00003516485,0.000005729871,0.0004405727],"study_design_scores_gemma":[0.00000425794,0.0001210509,0.001061473,0.000003827692,0.000006328758,0.0001583719,0.00002579062,0.002548819,0.9956369,0.00005762896,0.0003701884,0.000005358816],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9634359,0.001958448,0.03314716,0.0000988871,0.00002893609,0.00006113344,0.0001280473,0.0002335241,0.0009079434],"genre_scores_gemma":[0.968446,0.001894746,0.02662984,0.00005981548,0.00001939873,0.0001276399,0.0002274516,0.0000827102,0.002512481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008498463,"threshold_uncertainty_score":0.002843022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007982116964181746,"score_gpt":0.2068346509108361,"score_spread":0.1988525339466544,"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."}}