{"id":"W6893014435","doi":"10.5281/zenodo.13123028","title":"PyBIDS: Python tools for BIDS datasets","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Mobile Crowdsensing and Crowdsourcing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Addiction and Mental Health; Université de Montréal; Ottawa Hospital; Université de Sherbrooke; 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":[0.004518495,0.002631305,0.001653137,0.002582321,0.001367285,0.00398752,0.00497654,0.00104488,0.1509334],"category_scores_gemma":[0.01345371,0.002126614,0.002483107,0.003259131,0.001029891,0.004569713,0.00644908,0.003664173,0.1435379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001350251,"about_ca_system_score_gemma":0.003197303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008553853,"about_ca_topic_score_gemma":0.01226969,"domain_scores_codex":[0.9976521,0.0005314174,0.0002281066,0.0004930815,0.0007795613,0.0003156908],"domain_scores_gemma":[0.9967939,0.0009708971,0.0001943874,0.001040541,0.0005824211,0.0004179213],"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":[0.0002145073,0.00003295076,0.0005903968,0.0003782364,0.00007144629,0.00004982074,0.00009646799,0.001297123,0.0006965257,0.003874868,0.9826041,0.01009347],"study_design_scores_gemma":[0.0006382926,0.00005961091,0.002671513,0.0001725873,0.00005915705,0.000222463,0.0001697172,0.03178767,0.007058424,0.05533529,0.9016462,0.0001790769],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.00172385,0.000283829,0.07510964,0.0008180275,0.0003927277,0.0003725649,0.4796453,0.4280704,0.01358368],"genre_scores_gemma":[0.01796967,0.000426517,0.09088073,0.001334972,0.0001625477,0.003131783,0.7064944,0.167965,0.01163435],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.1509334,"threshold_uncertainty_score":0.5049226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04377670747731543,"score_gpt":0.2652480264956738,"score_spread":0.2214713190183584,"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."}}