{"id":"W2655912491","doi":"10.1111/ocr.12162","title":"The use of cell culture platforms to identify novel markers of bone and dentin resorption","year":2017,"lang":"en","type":"article","venue":"Orthodontics and Craniofacial Research","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Research Manitoba","funders":"National Institute of Dental and Craniofacial Research; American Association of Orthodontists Foundation","keywords":"Microvesicles; Resorption; In vitro; Osteoclast; Biomarker; Bone resorption; Dentin; Chemistry; Exosome; Proteomics; In vitro toxicology; Cell biology; Calvaria; Pathology; Biochemistry; Biology; Medicine; Endocrinology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009381817,0.0005585055,0.0005736309,0.0005530331,0.0003526544,0.001161883,0.000394929,0.000617246,0.001069238],"category_scores_gemma":[0.0008340891,0.00021465,0.0004252,0.0003625422,0.0004012909,0.0006800182,0.0007566116,0.001036079,0.0006319543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003369685,"about_ca_system_score_gemma":0.0004505214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003233394,"about_ca_topic_score_gemma":0.0009498328,"domain_scores_codex":[0.9994042,0.0001246836,0.00007357654,0.0001286598,0.0002215647,0.0000472567],"domain_scores_gemma":[0.9994634,0.0001934785,0.00009098124,0.00009221915,0.0001172364,0.00004267366],"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":[0.0000826176,0.00004757401,0.001290483,0.0001485516,0.00001909191,0.00007562678,0.00004206515,0.0001356239,0.9926318,0.0004508185,0.0001144754,0.004961266],"study_design_scores_gemma":[0.00002856708,0.0003500367,0.006525402,0.00005340108,0.0000695775,0.0006223611,0.0001132621,0.001972815,0.9812751,0.0003219367,0.008650081,0.00001736121],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8064563,0.02056932,0.1590665,0.001353489,0.0006301481,0.0006147579,0.003091101,0.0003295845,0.007888839],"genre_scores_gemma":[0.871128,0.01254321,0.1065844,0.0004797847,0.0001339117,0.001126725,0.003091146,0.0000554968,0.004857336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001161883,"threshold_uncertainty_score":0.00496161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1011166284507896,"score_gpt":0.3907012940138789,"score_spread":0.2895846655630894,"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."}}