{"id":"W2113459043","doi":"10.1002/jbio.201500150","title":"Analysis of forward and backward Second Harmonic Generation images to probe the nanoscale structure of collagen within bone and cartilage","year":2015,"lang":"en","type":"article","venue":"Journal of Biophotonics","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Institut National de la Recherche Scientifique","funders":"National Institute of General Medical Sciences; Directorate for Mathematical and Physical Sciences; Versus Arthritis","keywords":"Cartilage; Collagen fibril; Articular cartilage; Connective tissue; Anatomy; Materials science; Chemistry; Microscopy; Biomedical engineering; Biophysics; Optics; Pathology; Osteoarthritis; Biology; Physics; Medicine","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":[0.0003017687,0.000102594,0.00029245,0.0001065567,0.0000291119,0.00001704721,0.0001101434,0.00009942032,0.000004082146],"category_scores_gemma":[0.00008236624,0.00007154812,0.00007381204,0.0002135895,0.0001206529,0.00001046841,0.00008597835,0.00006470169,3.564547e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001734809,"about_ca_system_score_gemma":0.0001079083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004460142,"about_ca_topic_score_gemma":0.00009213268,"domain_scores_codex":[0.9991952,0.00004093273,0.0003910595,0.0001350789,0.0001415685,0.00009611476],"domain_scores_gemma":[0.9989552,0.000006876247,0.0004279984,0.0001920625,0.000333181,0.000084655],"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":[0.0001052676,0.00001318567,0.00138606,0.00001784019,0.0001048715,0.000001698932,0.0003405008,0.0001023763,0.9973673,0.000003561647,0.0004393054,0.000118023],"study_design_scores_gemma":[0.0002363505,0.0005309946,0.0005572171,0.00001332342,0.0002100611,0.00003311706,0.0002021188,0.0001510597,0.9972075,0.0000481123,0.0007369968,0.00007315113],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937568,0.002614239,0.003238082,0.00008382282,0.00004545266,0.0001642413,0.00008933837,0.000001547247,0.000006428801],"genre_scores_gemma":[0.9588296,0.0003099726,0.04069121,0.00007946034,0.00002754155,0.000001453674,0.000008905851,0.000009433687,0.0000424191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03745313,"threshold_uncertainty_score":0.2917648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01046144567748318,"score_gpt":0.2650728178865752,"score_spread":0.254611372209092,"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."}}