{"id":"W2469688110","doi":"10.1371/journal.pone.0163071","title":"Regional Reproducibility of BOLD Calibration Parameter M, OEF and Resting-State CMRO2 Measurements with QUO2 MRI","year":2016,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Neurological Institute and Hospital; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Fonds Québécois de la Recherche sur la Nature et les Technologies; Canada Foundation for Innovation; Québec Consortium for Drug Discovery","keywords":"Reproducibility; Calibration; Nuclear medicine; Hyperoxia; Repeatability; Nuclear magnetic resonance; Hypercapnia; Physics; Biomedical engineering; Medicine; Oxygen; Statistics; Mathematics; Internal medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.0002881715,0.00007398437,0.0001727265,0.00002878394,0.00003122231,0.000003221837,0.00003383342,0.00002944106,0.00001302207],"category_scores_gemma":[0.00029477,0.00004608177,0.00001549097,0.00008274039,0.0001088331,0.00008154559,0.00002019539,0.00005348641,0.000001281872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002657371,"about_ca_system_score_gemma":0.0000318977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002153631,"about_ca_topic_score_gemma":0.00001071586,"domain_scores_codex":[0.9990015,0.00001870488,0.0001944823,0.0004295648,0.0002554942,0.000100246],"domain_scores_gemma":[0.9988973,0.00005631289,0.0001109668,0.000707092,0.0001655466,0.00006275313],"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":[0.0005494467,0.001637432,0.1778256,0.000195201,0.00008915443,0.000002317065,0.0001156627,0.00000399612,0.8136896,0.0003567146,0.0006250539,0.004909868],"study_design_scores_gemma":[0.0012347,0.0007213051,0.0508132,0.001162979,0.0001754495,0.00001000706,0.00001118093,0.0002222499,0.9393582,0.005820074,0.0003149326,0.0001557025],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9557891,0.00007025812,0.03743039,0.005649252,0.000002673836,0.0006542237,0.00001178767,0.00009274377,0.0002995446],"genre_scores_gemma":[0.8756912,0.00008953379,0.1232952,0.0001495553,0.0000326052,0.00008042402,0.000007555439,0.00001424365,0.0006396745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1270124,"threshold_uncertainty_score":0.187916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1371739634025661,"score_gpt":0.3033514535845343,"score_spread":0.1661774901819682,"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."}}