{"id":"W3083232469","doi":"10.1016/j.jbspin.2020.07.014","title":"Bone changes in early inflammatory arthritis assessed with High-Resolution peripheral Quantitative Computed Tomography (HR-pQCT): A 12-month cohort study","year":2020,"lang":"en","type":"article","venue":"Joint Bone Spine","topic":"Rheumatoid Arthritis Research and Therapies","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Bone and Joint Health Institute; University of Calgary","funders":"University of Calgary","keywords":"Quantitative computed tomography; Medicine; Exacerbation; Arthritis; Peripheral; Bone mineral; Inflammatory arthritis; Bone erosion; Nuclear medicine; Internal medicine; Radiology; Urology; Osteoporosis","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004892523,0.0003845083,0.00109616,0.0004595554,0.0001456202,0.0001041517,0.0001023592,0.0001002726,0.000163955],"category_scores_gemma":[0.0001451831,0.0003313838,0.0001192374,0.0008229303,0.0002572864,0.0002905415,0.00009472059,0.0005693428,0.00002874654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001003148,"about_ca_system_score_gemma":0.000163198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001275546,"about_ca_topic_score_gemma":0.006674511,"domain_scores_codex":[0.9969144,0.0002509477,0.0006246809,0.0006518645,0.0009167712,0.0006412769],"domain_scores_gemma":[0.9986998,0.00003574904,0.0002008275,0.0003636178,0.0002684477,0.0004315471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005723229,0.003181686,0.9196009,0.0002862175,0.001120499,0.005980865,0.01026175,0.0001511513,0.04227898,0.001506924,0.001593569,0.008314212],"study_design_scores_gemma":[0.01290232,0.0140692,0.9668927,0.0007850927,0.00001822053,0.00007295517,0.001422364,0.001819778,0.0009570225,0.00002762909,0.0006517333,0.000381011],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874623,0.004171989,0.0007225813,0.004225339,0.00008012394,0.002850902,0.0000250608,0.0002480863,0.0002136227],"genre_scores_gemma":[0.9942473,0.0014604,0.003235678,0.0003479155,0.0001504921,0.0003478706,0.00009685668,0.00006746998,0.00004605487],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04729176,"threshold_uncertainty_score":0.9999138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01955093300363095,"score_gpt":0.2548762584121895,"score_spread":0.2353253254085586,"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."}}