{"id":"W2336252235","doi":"10.3174/ajnr.a4679","title":"Identifying Significant Changes in Cerebrovascular Reactivity to Carbon Dioxide","year":2016,"lang":"en","type":"article","venue":"American Journal of Neuroradiology","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; University of Toronto","funders":"","keywords":"Medicine; Voxel; Reactivity (psychology); White matter; Cardiology; Significant difference; Internal medicine; Nuclear medicine; Magnetic resonance imaging; Pathology; Radiology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002196516,0.0001006718,0.0004618078,0.0002604437,0.00001460932,0.000002066098,0.0001214871,0.00002793607,0.000009231425],"category_scores_gemma":[0.0001897888,0.00006666807,0.00007762807,0.0003108029,0.0001473525,0.00003772462,0.00003070086,0.0001861191,0.000002993607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009712275,"about_ca_system_score_gemma":0.0000467551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005404154,"about_ca_topic_score_gemma":0.00001823583,"domain_scores_codex":[0.9991122,0.00009640396,0.0002761811,0.0001808715,0.0001163406,0.0002179943],"domain_scores_gemma":[0.9990953,0.0001603212,0.000271033,0.0002407242,0.0000761129,0.0001564605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000122755,0.00006588796,0.02468993,0.000003579757,0.0000129726,0.0001251334,0.0000703086,0.000007078253,0.9092445,0.00008834015,0.00006390292,0.06550558],"study_design_scores_gemma":[0.002386827,0.009547339,0.6661385,0.000499856,0.0001633736,0.005817196,0.000572435,0.00001866439,0.2775914,0.001873187,0.03490471,0.0004864523],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9636052,0.00002455392,0.02460076,0.01139245,0.00005714972,0.000161385,0.000001684113,0.0000200737,0.0001367241],"genre_scores_gemma":[0.9907174,0.0003520924,0.007956637,0.0007700767,0.0001295596,0.0000151488,2.357624e-7,0.00001839098,0.0000404187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6414486,"threshold_uncertainty_score":0.2718645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02455486700437581,"score_gpt":0.3156912326626575,"score_spread":0.2911363656582817,"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."}}