{"id":"W2038020252","doi":"10.1016/s0968-4328(03)00039-8","title":"Image analysis of tendon helical superstructure using interference and polarized light microscopy","year":2003,"lang":"en","type":"article","venue":"Micron","topic":"Collagen: Extraction and Characterization","field":"Materials Science","cited_by":138,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Bayer Canada; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Polarized light microscopy; Materials science; Polarizer; Birefringence; Superstructure; Microscopy; Optics; Crimp; Interference (communication); Planar; Differential interference contrast microscopy; Anatomy; Composite material; Physics; Channel (broadcasting); Computer science; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003522122,0.0002801431,0.0002280435,0.0009932166,0.0005629958,0.000487082,0.0003589051,0.0003163048,0.003390035],"category_scores_gemma":[0.0004501978,0.0003063517,0.0001813731,0.0005486066,0.0003730918,0.0003911772,0.0002750084,0.0005859374,0.0006892255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005055324,"about_ca_system_score_gemma":0.0004791835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002736435,"about_ca_topic_score_gemma":0.004877519,"domain_scores_codex":[0.99984,0.00001985218,0.00001193051,0.00002820266,0.00006395966,0.0000359662],"domain_scores_gemma":[0.9992146,0.0003040223,0.0000687305,0.0001006136,0.0002663291,0.0000455898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001650788,0.00002693444,0.0004872869,0.00008244202,0.000006482094,0.00008970547,0.00006442206,0.0001591634,0.9910335,0.0005006071,0.00009638238,0.007288015],"study_design_scores_gemma":[0.00001695149,0.00005507619,0.01620765,0.000008660237,0.00002051768,0.0006581877,0.0001006604,0.007227571,0.9729973,0.0002449128,0.002450149,0.00001238721],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7576757,0.001004575,0.2286516,0.0002718977,0.00005783529,0.0001858958,0.001188728,0.001077446,0.009886242],"genre_scores_gemma":[0.7518029,0.0009952015,0.2388909,0.0001151634,0.00003006817,0.0002154618,0.0008278712,0.000412404,0.006709925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003390035,"threshold_uncertainty_score":0.01134086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01096660515440245,"score_gpt":0.2652450438874882,"score_spread":0.2542784387330857,"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."}}