{"id":"W2159172202","doi":"10.1002/mrm.22719","title":"An improved method for acquiring cerebrovascular reactivity maps","year":2010,"lang":"en","type":"article","venue":"Magnetic Resonance in Medicine","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":102,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Occipital lobe; Analysis of variance; Post hoc; Nuclear magnetic resonance; Post-hoc analysis; Frontal lobe; Stimulus (psychology); Phase difference; Parietal lobe; Significant difference; Electroencephalography; Cardiology; Nuclear medicine; Medicine; Neuroscience; Phase (matter); Internal medicine; Physics; Psychology","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":[0.00124613,0.0007524951,0.0007044633,0.001595583,0.0003744595,0.00076641,0.0008755298,0.001060091,0.004485956],"category_scores_gemma":[0.003324947,0.0006182457,0.0004411076,0.0008991936,0.0002424341,0.001225353,0.0007677638,0.001457011,0.001764699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001573128,"about_ca_system_score_gemma":0.0005364512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008379718,"about_ca_topic_score_gemma":0.00163118,"domain_scores_codex":[0.9992921,0.0001606812,0.00003933848,0.0001928952,0.0002713336,0.0000435581],"domain_scores_gemma":[0.9988022,0.0004041645,0.00009675792,0.0002565435,0.0003838206,0.00005642031],"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":[0.0001719941,0.00006219852,0.001250732,0.0003514315,0.0000651718,0.0002274949,0.0001079591,0.001440932,0.7587083,0.001688648,0.002015193,0.2339099],"study_design_scores_gemma":[0.0001340962,0.0007927587,0.02824684,0.0001301635,0.0003900259,0.009056563,0.0001106406,0.09843121,0.788106,0.005264941,0.0689877,0.0003491695],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01146162,0.0004496624,0.9847995,0.0001235455,0.0001208726,0.00008463729,0.0002498582,0.001696623,0.001013629],"genre_scores_gemma":[0.03762242,0.0006366677,0.9588908,0.0001007527,0.0001048535,0.0002539621,0.0003335038,0.0004581356,0.001598824],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004485956,"threshold_uncertainty_score":0.01500702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02971427520510091,"score_gpt":0.3200591031402484,"score_spread":0.2903448279351475,"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."}}