{"id":"W2894982302","doi":"10.1002/jbio.201800241","title":"Collagen chirality and three‐dimensional orientation studied with polarimetric second‐harmonic generation microscopy","year":2018,"lang":"en","type":"article","venue":"Journal of Biophotonics","topic":"Collagen: Extraction and Characterization","field":"Materials Science","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Polarimetry; Chirality (physics); Orientation (vector space); Microscopy; Materials science; Optics; Physics; Geometry; Mathematics; Chiral symmetry","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":[0.0004781466,0.0001194871,0.0001952237,0.0001668093,0.0002494384,0.0001418095,0.0000859011,0.00007062706,0.0007218903],"category_scores_gemma":[0.00003922632,0.00009288927,0.00003512116,0.0003896948,0.00009882911,0.0003841073,0.00002997802,0.00007383245,0.00002197006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001104743,"about_ca_system_score_gemma":0.0002103333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002077399,"about_ca_topic_score_gemma":0.0001831446,"domain_scores_codex":[0.9988739,0.00006017558,0.0004072168,0.0001806447,0.0003315261,0.0001465141],"domain_scores_gemma":[0.9986355,0.00002636713,0.000578509,0.0001206352,0.0005456375,0.00009329845],"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":[0.0002425166,0.00006741384,0.001828236,0.000009038885,0.0000190806,0.000006158498,0.0001576246,0.000003532292,0.9971476,0.00001969884,0.0002853013,0.000213837],"study_design_scores_gemma":[0.0009618827,0.0006563656,0.05019235,0.00001715796,0.00005227243,0.0001883389,0.00006050045,0.0005618639,0.9449902,0.00002681202,0.002161833,0.0001304379],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973729,0.0001988365,0.001116754,0.0001431118,0.0009183884,0.0001623016,0.00002330821,0.00001187712,0.0000525859],"genre_scores_gemma":[0.9943035,0.00003909707,0.004977501,0.0002469646,0.0002987943,0.000002685479,0.000009008204,0.00001151164,0.0001109752],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05215738,"threshold_uncertainty_score":0.7904192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02011613031103332,"score_gpt":0.2719609752632589,"score_spread":0.2518448449522255,"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."}}