{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004005379,0.0001433773,0.0002496113,0.0005263141,0.0007081434,0.000125971,0.0001374693,0.00001980815,0.00002386823],"category_scores_gemma":[0.0007659387,0.0001364842,0.0001125237,0.0006942594,0.00004278895,0.0004524108,0.0002009244,0.00009847807,0.00003035717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009635254,"about_ca_system_score_gemma":0.00001763619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007619139,"about_ca_topic_score_gemma":2.468007e-7,"domain_scores_codex":[0.9986838,0.0001220132,0.0003707036,0.0002859019,0.0003204471,0.0002171472],"domain_scores_gemma":[0.9990298,0.0003931404,0.0002162783,0.0002247699,0.00008225629,0.00005379943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002322109,0.00005554895,0.6039994,0.001939143,0.0009973232,0.00004289317,0.3054545,0.062122,0.002887692,0.00865956,0.006872036,0.00464782],"study_design_scores_gemma":[0.00328432,0.000145698,0.0366922,0.00001372408,0.0003344525,0.0001711032,0.02164648,0.926623,0.003063973,0.00001135254,0.007478344,0.000535354],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9351887,0.000004520995,0.06036317,0.001239218,0.0005272009,0.0007789286,0.0008486196,0.0003119016,0.0007377686],"genre_scores_gemma":[0.9973046,5.766148e-8,0.0001487839,0.002000197,0.00004255526,0.0003416291,0.00001327645,0.000008930703,0.00013993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.864501,"threshold_uncertainty_score":0.5565665,"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."}}