{"id":"W2039299279","doi":"10.1016/j.neuroimage.2005.07.032","title":"Detecting fMRI activation allowing for unknown latency of the hemodynamic response","year":2005,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Haemodynamic response; Latency (audio); Hemodynamics; Computer science; Maxima; Statistical analysis; Mathematics; Psychology; Artificial intelligence; Statistics; Medicine; Anesthesia; Internal medicine","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":[0.0007719694,0.0008151178,0.0006262658,0.0004729536,0.0004103289,0.0009718538,0.0005377185,0.002191842,0.003621673],"category_scores_gemma":[0.003155828,0.0005256389,0.0003597946,0.0003976727,0.0004316008,0.00103538,0.0004090897,0.001040265,0.0008851298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000214015,"about_ca_system_score_gemma":0.0004989578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003473768,"about_ca_topic_score_gemma":0.001156947,"domain_scores_codex":[0.9997945,0.00004168037,0.000008883349,0.00007741182,0.00003305138,0.00004441166],"domain_scores_gemma":[0.9992636,0.0004891168,0.00004862387,0.00007187465,0.00006167342,0.00006505866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000299869,0.00004666952,0.001076896,0.00009545465,0.00001849644,0.0001153118,0.00003179887,0.0006224193,0.9804559,0.001046129,0.0002933514,0.01589765],"study_design_scores_gemma":[0.0001729394,0.0006105577,0.03426604,0.00005256503,0.000202253,0.002046593,0.00004380867,0.08917927,0.8595157,0.01019701,0.003631082,0.00008218701],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.315103,0.0006989758,0.677871,0.0003792539,0.0003081068,0.0001744737,0.0005342345,0.001443278,0.00348771],"genre_scores_gemma":[0.7687275,0.0004617703,0.226556,0.0004728953,0.0002655842,0.0002444661,0.000387242,0.0005430751,0.002341447],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003621673,"threshold_uncertainty_score":0.01211566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02779845537051255,"score_gpt":0.2655159313462759,"score_spread":0.2377174759757633,"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."}}