{"id":"W6901790255","doi":"10.60692/gcqt3-aay92","title":"Micapipe: A Pipeline for Multimodal Neuroimaging and Connectome Analysis","year":2022,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Human Connectome Project; Connectome; Pipeline (software); Neuroimaging; Similarity (geometry); Functional magnetic resonance imaging; Pattern recognition (psychology); Human brain; Neurophysiology","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":[0.001728098,0.003888174,0.001497625,0.002543387,0.001333991,0.003764718,0.003130785,0.001371383,0.05931739],"category_scores_gemma":[0.006735569,0.001702361,0.003082253,0.002037936,0.0006364465,0.002270231,0.005072135,0.003246426,0.03748354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009851481,"about_ca_system_score_gemma":0.00233497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007283842,"about_ca_topic_score_gemma":0.01426527,"domain_scores_codex":[0.9991447,0.0001119888,0.00007381999,0.0003201772,0.0002358121,0.0001134983],"domain_scores_gemma":[0.9988586,0.0003480524,0.00009240009,0.0003355296,0.0002705405,0.0000949493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007396084,0.0001064134,0.002491394,0.001558138,0.0008874428,0.0006741984,0.0006193034,0.007385298,0.02304838,0.008843934,0.7617916,0.1918543],"study_design_scores_gemma":[0.0005535363,0.0002333022,0.01459884,0.0004820737,0.0003744653,0.001600771,0.0005460001,0.2196383,0.05720389,0.1002439,0.6039946,0.0005302295],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.005176704,0.0008024189,0.41395,0.0006120038,0.0003076065,0.0004969088,0.07042962,0.5019938,0.006230963],"genre_scores_gemma":[0.058856,0.001235597,0.5707316,0.001262073,0.0002145523,0.003973681,0.2147318,0.1351542,0.01384059],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.05931739,"threshold_uncertainty_score":0.1984364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04719725202812169,"score_gpt":0.2384962971550788,"score_spread":0.1912990451269571,"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."}}