{"id":"W2511043879","doi":"10.1038/srep31685","title":"Intravital assessment of myelin molecular order with polarimetric multiphoton microscopy","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Institut Universitaire en Santé Mentale de Québec","funders":"Multiple Sclerosis Society; Multiple Sclerosis Society of Canada","keywords":"Intravital microscopy; Multiphoton fluorescence microscope; Myelin; Microscopy; Myelin sheath; Polarimetry; Chemistry; Biology; Neuroscience; Pathology; Medicine; Physics; Optics; Fluorescence microscope; Genetics; Central nervous system","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":[0.000469425,0.0001751563,0.0001774391,0.0001578723,0.00007687802,0.00004236037,0.0001825054,0.0001141627,0.00002787569],"category_scores_gemma":[0.0001437248,0.0001166786,0.0000637037,0.0004599253,0.0004985557,0.0000123542,0.0001260025,0.00006503343,0.000002286708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003897504,"about_ca_system_score_gemma":0.0002745902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002749418,"about_ca_topic_score_gemma":0.0000100707,"domain_scores_codex":[0.9982268,0.0000341611,0.0003725772,0.0007553895,0.0003126728,0.0002984169],"domain_scores_gemma":[0.9982886,0.000007930569,0.0002895542,0.0009576415,0.0003720932,0.00008412525],"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":[0.00001976127,0.00007641353,0.02150447,0.00001084898,0.00001942982,0.00006783097,0.000007304914,0.000005709595,0.9763769,0.00001640559,0.0006570776,0.00123785],"study_design_scores_gemma":[0.0001914691,0.0001899874,0.001516319,0.00005312371,0.000009877875,0.0001146805,0.00001019314,0.000003084442,0.9897591,0.0002142808,0.007753707,0.0001841693],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7669284,0.0001718453,0.2318046,0.00003111421,0.0004626693,0.0003154105,0.00001195006,0.00002685797,0.0002471307],"genre_scores_gemma":[0.8143101,0.00001351419,0.1848095,0.00001994996,0.00002040939,0.00001850483,0.0000518602,0.00002582432,0.0007302888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04738171,"threshold_uncertainty_score":0.4758013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004129637375042797,"score_gpt":0.2852362538465376,"score_spread":0.2811066164714948,"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."}}