{"id":"W3209684954","doi":"10.1364/ol.443987","title":"Transient-mode photothermal optical coherence tomography","year":2021,"lang":"en","type":"article","venue":"Optics Letters","topic":"Optical Coherence Tomography Applications","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; National Institute of Biomedical Imaging and Bioengineering; York University","keywords":"Optical coherence tomography; Photothermal therapy; Superluminescent diode; Coherence (philosophical gambling strategy); Laser; Laser diode; Diffuse optical imaging; Preclinical imaging; Diode; Scattering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005376931,0.0002119859,0.0001923851,0.000092409,0.00006938347,0.00009116498,0.0002343289,0.000096857,0.0002450961],"category_scores_gemma":[0.00001169605,0.0002398003,0.0001653476,0.0006718059,0.0001622437,0.0001205432,0.00002295824,0.0003087601,0.0001192105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002784072,"about_ca_system_score_gemma":0.00001907302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002762814,"about_ca_topic_score_gemma":0.000009363038,"domain_scores_codex":[0.9987397,0.00001767309,0.0002483982,0.0002920426,0.0002523501,0.0004498814],"domain_scores_gemma":[0.9991896,0.00008147701,0.00001596546,0.000459751,0.0000592894,0.0001938761],"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":[0.000007060427,0.0001205738,0.0006802804,0.00007332033,0.0001401675,0.0000943347,0.000229841,0.017247,0.9663472,0.009308747,0.002275685,0.003475819],"study_design_scores_gemma":[0.003207825,0.0001896988,0.02851946,0.0002772107,0.0005591844,0.0002565203,0.000545691,0.166199,0.7580717,0.002061255,0.03591359,0.00419892],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8811124,0.0002196726,0.07018988,0.00165793,0.0003244617,0.0002920555,0.00005180091,0.000697501,0.04545431],"genre_scores_gemma":[0.9534628,0.0000318801,0.04537933,0.0008299281,0.00008392153,0.00009729036,0.0000271187,0.00005320133,0.0000345604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2082755,"threshold_uncertainty_score":0.9778774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008539749714604793,"score_gpt":0.2197617123439302,"score_spread":0.2112219626293254,"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."}}