{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001731315,0.0002319381,0.0004172063,0.0001677964,0.0001739671,0.00002203602,0.0003756523,0.0001102128,0.0001236993],"category_scores_gemma":[0.0208696,0.0001961498,0.00006632711,0.0004205854,0.0003535272,0.0002178656,0.0000768875,0.0004463794,0.000008036851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004552417,"about_ca_system_score_gemma":0.0000443743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003537318,"about_ca_topic_score_gemma":0.000731211,"domain_scores_codex":[0.9977368,0.0002036325,0.000323511,0.0008919768,0.0003843461,0.0004597449],"domain_scores_gemma":[0.9931771,0.005856077,0.00008964509,0.0006932774,0.00007764818,0.0001063197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001026639,0.00009440807,0.002001926,0.00003321667,0.000001448753,0.00000755376,0.0002773621,0.000007487867,0.8229343,0.001388057,0.001163293,0.1719883],"study_design_scores_gemma":[0.006671921,0.003000916,0.1637667,0.000162328,0.00005029957,0.0001224856,0.0003640802,0.04744698,0.208256,0.01871491,0.5506582,0.0007851123],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9435253,0.001377688,0.01687401,0.02786432,0.003382826,0.002388076,0.00003752342,0.0002923161,0.00425797],"genre_scores_gemma":[0.9590698,0.000110205,0.03259044,0.005590791,0.001088643,0.0005522227,0.000004846202,0.00006416345,0.0009289108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6146783,"threshold_uncertainty_score":0.987378,"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."}}