{"id":"W4381516828","doi":"10.1364/boda.2023.jtu4b.27","title":"Extensive Mie scattering analysis for biomedical application using PyMieSim.","year":2023,"lang":"en","type":"article","venue":"","topic":"Optical Imaging and Spectroscopy Techniques","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine; Polytechnique Montréal","funders":"","keywords":"Mie scattering; Python (programming language); Computer science; Scattering; Light scattering; Optics; Physics; Programming language","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":[0.001777652,0.001368906,0.001129801,0.0008659826,0.001382208,0.001103537,0.002206032,0.0008950164,0.03538433],"category_scores_gemma":[0.002827663,0.0006986131,0.0009609954,0.00116514,0.0003958021,0.001583734,0.001564214,0.002240128,0.007905107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007898901,"about_ca_system_score_gemma":0.002435014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003154919,"about_ca_topic_score_gemma":0.00389897,"domain_scores_codex":[0.999226,0.00009964794,0.00004804728,0.0001156399,0.0004244853,0.00008625077],"domain_scores_gemma":[0.9989858,0.0003857106,0.00006475933,0.0001884781,0.0003090807,0.00006612439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007392759,0.0007097455,0.007362099,0.003841609,0.0006903823,0.001087868,0.001347899,0.1109872,0.3172826,0.06010594,0.2661481,0.2296973],"study_design_scores_gemma":[0.000108979,0.0001185856,0.002460486,0.0001735297,0.00006962298,0.0004634108,0.0001004076,0.6304537,0.1976544,0.01587804,0.1523176,0.0002011751],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04758336,0.0008136016,0.836119,0.000967888,0.0003624699,0.0002787467,0.01936185,0.07733135,0.01718176],"genre_scores_gemma":[0.2432403,0.001545883,0.6839328,0.0007388297,0.0001211102,0.002132476,0.02511264,0.02746948,0.0157065],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03538433,"threshold_uncertainty_score":0.1183724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03969450239893456,"score_gpt":0.39009044958146,"score_spread":0.3503959471825254,"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."}}