{"id":"W4381516718","doi":"10.1364/boda.2023.dw3a.5","title":"Investigating Skin Aging Using Jones Matrix Polarization-Sensitive Optical Coherence Tomography","year":2023,"lang":"en","type":"article","venue":"","topic":"Optical Coherence Tomography Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver Coastal Health; Vancouver Coastal Health Research Institute; University of British Columbia","funders":"","keywords":"Optical coherence tomography; Optics; Polarization (electrochemistry); Optical tomography; Coherence (philosophical gambling strategy); Tomography; Optical imaging; Physics; Computer science; Materials science; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001863826,0.0002158445,0.0001940393,0.0004006997,0.0001944036,0.0001237679,0.0001824405,0.0001120322,0.00005410987],"category_scores_gemma":[0.0000691701,0.0002306701,0.00009866402,0.003008109,0.0001716716,0.0002615579,0.00007112828,0.000250262,0.0001903033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003299017,"about_ca_system_score_gemma":0.00002500768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005621724,"about_ca_topic_score_gemma":0.00001821312,"domain_scores_codex":[0.9986221,0.00002717408,0.0003265197,0.0002905596,0.0002632469,0.00047043],"domain_scores_gemma":[0.9991487,0.0002379877,0.00003252159,0.0002782338,0.0001040973,0.0001985161],"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":[0.000002551082,0.00005816355,0.05088781,0.000246989,0.0002431176,0.00002350037,0.001177459,0.1320924,0.6981509,0.1089977,0.0005950368,0.007524254],"study_design_scores_gemma":[0.0002866562,0.0000263758,0.0471283,0.0001347421,0.00007277012,0.00001938798,0.001093409,0.85816,0.0869808,0.005147451,0.0001231438,0.0008269289],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9058849,0.00005284881,0.08266936,0.0001816094,0.0001470179,0.0003925254,0.00002262805,0.002658372,0.007990801],"genre_scores_gemma":[0.9471517,0.000007020727,0.0525125,0.00004640983,0.00008019399,0.00003880383,0.0000289721,0.00004950252,0.00008487842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7260676,"threshold_uncertainty_score":0.9406455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0199242116999593,"score_gpt":0.2695897513989964,"score_spread":0.2496655396990371,"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."}}