{"id":"W1975146040","doi":"10.3389/fendo.2015.00038","title":"Micro CT Analysis of Spine Architecture in a Mouse Model of Scoliosis","year":2015,"lang":"en","type":"article","venue":"Frontiers in Endocrinology","topic":"Scoliosis diagnosis and treatment","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; McGill University; McGill University Health Centre","funders":"Canadian Institutes of Health Research; Mitacs; Réseau de Recherche en Santé Buccodentaire et Osseuse","keywords":"Kyphoscoliosis; Anatomy; X-ray microtomography; SPINE (molecular biology); Cobb angle; Rachis; Medicine; Scoliosis; Biology; Pathology; Surgery; Radiology; Bioinformatics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004503969,0.0009354214,0.0004918855,0.002438916,0.0003188775,0.0004418216,0.0003469743,0.000902068,0.002982612],"category_scores_gemma":[0.0002235189,0.0005169688,0.0005325817,0.0007852112,0.0005014151,0.0004363458,0.0002702722,0.001088052,0.0006392465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004605491,"about_ca_system_score_gemma":0.0002987017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001215106,"about_ca_topic_score_gemma":0.002919338,"domain_scores_codex":[0.9995531,0.00004179444,0.00003379856,0.0001012482,0.0002082838,0.00006169871],"domain_scores_gemma":[0.9994659,0.00004404081,0.0002196554,0.00003693864,0.0001335752,0.00009991969],"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":[0.0002153115,0.00006321743,0.0009558377,0.00003866627,0.000009992324,0.00009678923,0.00001437004,0.0001455611,0.9971902,0.00003646869,0.00005080133,0.001182857],"study_design_scores_gemma":[0.0001154225,0.002067737,0.1086348,0.00006185277,0.0001498237,0.005914488,0.0001380504,0.004485311,0.8757498,0.0001800283,0.002455839,0.00004678903],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9720639,0.002405689,0.01880745,0.0001823562,0.00006697367,0.0002449206,0.002738408,0.000582146,0.002908188],"genre_scores_gemma":[0.9528639,0.002228686,0.02898843,0.000157123,0.00003271024,0.0005459636,0.003273933,0.0002302997,0.01167886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002982612,"threshold_uncertainty_score":0.009977818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03157701712478229,"score_gpt":0.291638459547974,"score_spread":0.2600614424231917,"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."}}