{"id":"W2782126614","doi":"","title":"Evaluating the Collagen Network of Articular Cartilage Using Contrast-Enhanced X-Ray Microscopy","year":2016,"lang":"en","type":"article","venue":"CMBES Proceedings","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Microscopy; Articular cartilage; Contrast (vision); Cartilage; Biomedical engineering; Materials science; Anatomy; Chemistry; Pathology; Medicine; Artificial intelligence; Computer science; Osteoarthritis","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":[0.0004103234,0.0002273449,0.0001005378,0.0009437091,0.0002782184,0.0003310782,0.0002107395,0.000392699,0.001467959],"category_scores_gemma":[0.0003461176,0.000237879,0.0001248152,0.0003101983,0.0003208918,0.0003777344,0.0002086701,0.0002593382,0.0002083214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001856179,"about_ca_system_score_gemma":0.0001953092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001432478,"about_ca_topic_score_gemma":0.001813546,"domain_scores_codex":[0.9998707,0.0000280673,0.00001114533,0.00001933559,0.00004487684,0.00002582699],"domain_scores_gemma":[0.9997558,0.00007965382,0.00004182844,0.00002169124,0.00007194393,0.00002903678],"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":[0.00009713315,0.00001597517,0.001225537,0.00006306059,0.000006961659,0.0001042992,0.00003785153,0.0001000799,0.9961364,0.0001133598,0.00002007595,0.002079289],"study_design_scores_gemma":[0.00002035331,0.0002024734,0.04396123,0.00002873993,0.00005869911,0.001251495,0.0001830054,0.005931695,0.9464614,0.0002034166,0.001681464,0.0000160689],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9690956,0.002935218,0.02347237,0.0001382973,0.00002215908,0.00006720062,0.0001788962,0.0001119082,0.003978366],"genre_scores_gemma":[0.9637565,0.002002502,0.03067962,0.00007812839,0.00002158922,0.00003866927,0.0001841163,0.00003277052,0.003206075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001467959,"threshold_uncertainty_score":0.004910886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03779822845568859,"score_gpt":0.3307109931178973,"score_spread":0.2929127646622087,"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."}}