{"id":"W2959180649","doi":"10.3389/fneur.2019.00726","title":"Measurement Variability Following MRI System Upgrade","year":2019,"lang":"en","type":"article","venue":"Frontiers in Neurology","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Université de Montréal; Institut Universitaire de Gériatrie de Montréal; Toronto Metropolitan University; Montreal Neurological Institute and Hospital; Douglas Mental Health University Institute; McGill University","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Pfizer Canada; Alzheimer's Society; Consortium canadien en neurodégénérescence associée au vieillissement; Pfizer","keywords":"Upgrade; Magnetic resonance imaging; Medicine; Computer science; Radiology","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":[0.006419788,0.0005104021,0.0005548788,0.0009146933,0.0003585033,0.0007647291,0.0005110182,0.0004632403,0.0008451343],"category_scores_gemma":[0.02452057,0.0002545514,0.0003957781,0.000952048,0.0003803522,0.0004731937,0.0009467374,0.0006199816,0.0004121263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003109655,"about_ca_system_score_gemma":0.0002159531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008063056,"about_ca_topic_score_gemma":0.001192198,"domain_scores_codex":[0.994549,0.001594719,0.0007039348,0.00131851,0.001588424,0.0002454535],"domain_scores_gemma":[0.9779993,0.009857767,0.003752497,0.00393178,0.004106501,0.0003522261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004975579,0.0003232967,0.567053,0.0007663571,0.001434491,0.001625034,0.003532875,0.00545577,0.1577879,0.0004340938,0.003733646,0.252878],"study_design_scores_gemma":[0.00003539376,0.00171797,0.9389839,0.00004837587,0.0003801742,0.002874821,0.0004547308,0.005413515,0.04359038,0.0006115211,0.005798515,0.00009082699],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.95288,0.001637026,0.04114627,0.000175649,0.0002093695,0.0001328057,0.0009872648,0.000814163,0.002017617],"genre_scores_gemma":[0.9881769,0.0002384784,0.009254024,0.0001410598,0.00008684841,0.0001215974,0.00111011,0.0002278346,0.000643224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006419788,"threshold_uncertainty_score":0.03395152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01037162171804515,"score_gpt":0.2525043197301896,"score_spread":0.2421326980121444,"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."}}