{"id":"W2000878453","doi":"10.1016/j.neuroimage.2008.07.008","title":"Investigation of the influence of carbon dioxide concentrations on cerebral physiology by susceptibility-weighted magnetic resonance imaging (SWI)","year":2008,"lang":"en","type":"article","venue":"NeuroImage","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":63,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Bundesministerium für Bildung und Forschung; Deutsche Forschungsgemeinschaft; Michael Smith Health Research BC","keywords":"Carbogen; Magnetic resonance imaging; White matter; Breathing; Nuclear magnetic resonance; Susceptibility weighted imaging; Cerebral blood flow; Nuclear medicine; Oxygenation; Medicine; Chemistry; Anesthesia; Radiology; Physics","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":[0.0000378857,0.00009490215,0.0001678223,0.0000267952,0.00006380069,0.000001104032,0.0001144003,0.00003194264,0.000008673134],"category_scores_gemma":[0.00008730208,0.00007395192,0.00004912805,0.0002492913,0.0005710151,0.00004686627,0.0000331436,0.0001677847,8.938827e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002369126,"about_ca_system_score_gemma":0.00006152409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008351519,"about_ca_topic_score_gemma":0.00000455588,"domain_scores_codex":[0.9991797,0.00005339869,0.0002654299,0.0002266576,0.0001460465,0.0001287722],"domain_scores_gemma":[0.9991503,0.00007008417,0.000141353,0.0004822099,0.0001138105,0.00004226417],"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":[0.0000221876,0.00003906919,0.08805665,0.0000135197,5.180391e-7,9.993092e-7,0.00007560886,0.00003134658,0.9108388,0.0004367325,0.0002295685,0.0002549931],"study_design_scores_gemma":[0.0002573906,0.0001076714,0.5920708,0.00003982102,0.00001037424,0.00000947176,0.000008301117,0.0004415969,0.4060573,0.0005220091,0.0004317098,0.00004350695],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997874,0.0001633692,0.00009258369,0.0008914361,0.00001536883,0.0004380866,0.0000297934,0.00004527022,0.0004501425],"genre_scores_gemma":[0.9979102,0.00005919137,0.001255041,0.0005911321,0.0000162386,0.00002697377,0.00001189114,0.00001221657,0.0001171375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5047815,"threshold_uncertainty_score":0.3015672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01509409640591681,"score_gpt":0.2583570238448589,"score_spread":0.2432629274389421,"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."}}