{"id":"W2434996845","doi":"10.1364/boe.6.003475","title":"Ultrastructural features of collagen in thyroid carcinoma tissue observed by polarization second harmonic generation microscopy","year":2015,"lang":"en","type":"article","venue":"Biomedical Optics Express","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre; College of Family Physicians of Canada; University Health Network","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; California HIV/AIDS Research Program","keywords":"Ultrastructure; Microscopy; Pathology; Thyroid; Polarization (electrochemistry); Optics; Second-harmonic generation; Carcinoma; Materials science; Chemistry; Medicine; Physics; Internal medicine; Laser","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":[0.0001371406,0.0001577742,0.0002165594,0.00008582028,0.00002464204,0.00003598588,0.0001815244,0.0001535829,0.00003407355],"category_scores_gemma":[0.00007810171,0.0001546892,0.00002420702,0.0002117183,0.00009386115,0.0001271596,0.00002572993,0.0001273293,0.000002494171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001070384,"about_ca_system_score_gemma":0.00006990469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000655128,"about_ca_topic_score_gemma":0.000009273802,"domain_scores_codex":[0.9989442,0.00003225366,0.0003159692,0.0001726305,0.0002629741,0.0002719874],"domain_scores_gemma":[0.999521,0.00004009275,0.000048354,0.0001608592,0.0000582959,0.0001713667],"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":[0.000008956032,0.00002310278,0.0004113774,0.00005161202,0.00001185825,0.000005426305,0.0005179365,0.0002619048,0.9883092,0.00001522798,0.01006725,0.0003161555],"study_design_scores_gemma":[0.001018613,0.00006274166,0.002374959,0.00002589717,0.0000161912,0.00001387689,0.0001770306,0.0382526,0.9565232,0.00002734702,0.001305963,0.0002015257],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9814528,0.001453656,0.01584272,0.00003853017,0.0005745325,0.0001845019,0.0001807857,0.00005728912,0.000215179],"genre_scores_gemma":[0.9924488,0.00002007484,0.006820204,0.00003301903,0.0001271946,0.00001016332,0.0003515961,0.00002730976,0.0001616448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0379907,"threshold_uncertainty_score":0.6308041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01720324087399306,"score_gpt":0.2329942675952388,"score_spread":0.2157910267212458,"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."}}