{"id":"W7092184749","doi":"10.5281/zenodo.17369894","title":"PyBIDS: Python tools for BIDS datasets","year":2025,"lang":"","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Addiction and Mental Health; Ottawa Hospital; Université de Sherbrooke; Université de Montréal; University of Toronto; Montreal Neurological Institute and Hospital; Polytechnique Montréal; Western University; Concordia University; Holland Bloorview Kids Rehabilitation Hospital; McGill University","funders":"","keywords":"Python (programming language); Information system; MIT License; Scripting language; Software","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":[0.004925889,0.002981029,0.002014803,0.003074789,0.001394298,0.004618271,0.005471713,0.001125325,0.1648704],"category_scores_gemma":[0.01417364,0.002490348,0.002638395,0.003509166,0.001035722,0.004866854,0.006492374,0.003905341,0.1487913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001305873,"about_ca_system_score_gemma":0.002895162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0066087,"about_ca_topic_score_gemma":0.009551876,"domain_scores_codex":[0.9975587,0.0005526857,0.000267609,0.0005595545,0.0007540145,0.0003073711],"domain_scores_gemma":[0.9964078,0.001222709,0.0002606917,0.001094026,0.0005784128,0.0004362185],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002660617,0.00003313462,0.0006512061,0.0005438016,0.0001058945,0.00006758952,0.0001071354,0.001086609,0.0009081717,0.003609344,0.981037,0.01158415],"study_design_scores_gemma":[0.0007986771,0.00006403052,0.002966512,0.0002303643,0.00008722605,0.0003179073,0.0001579631,0.02280545,0.008494888,0.05170123,0.912155,0.0002207485],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.001390723,0.000329511,0.06658183,0.0006932934,0.0003149771,0.0002915497,0.4792275,0.4415049,0.009665649],"genre_scores_gemma":[0.0139741,0.0004537088,0.08437666,0.001204972,0.0001514592,0.002938858,0.6891056,0.1988982,0.008896566],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.1648704,"threshold_uncertainty_score":0.5515465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07607598476261189,"score_gpt":0.289420358572432,"score_spread":0.2133443738098201,"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."}}