{"id":"W6969344250","doi":"10.5281/zenodo.8397157","title":"nilearn","year":2023,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Heart Institute; Toronto Western Hospital; McGill University; Queen's University; Mila - Quebec Artificial Intelligence Institute; Compute Canada; Concordia University; Western University","funders":"","keywords":"Documentation; Identification (biology); Process (computing); Statistical analysis","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":[0.00674359,0.005496052,0.003568457,0.004940416,0.001930277,0.005846875,0.008467922,0.003730238,0.1423747],"category_scores_gemma":[0.01792207,0.002474924,0.004413823,0.005849276,0.001183289,0.004666066,0.006910606,0.005708166,0.2506491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001263884,"about_ca_system_score_gemma":0.004290385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006325525,"about_ca_topic_score_gemma":0.007755728,"domain_scores_codex":[0.9937966,0.001634025,0.0006899637,0.001700695,0.001602232,0.0005765063],"domain_scores_gemma":[0.996543,0.0009941066,0.0001848349,0.0007572999,0.00123912,0.0002815394],"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":[0.0005374096,0.000103414,0.0005984013,0.001524362,0.0002728128,0.0001500136,0.0001732854,0.01009418,0.001217281,0.004654118,0.8446014,0.1360734],"study_design_scores_gemma":[0.000609866,0.0001891403,0.0007918705,0.0006583505,0.000169033,0.000378757,0.0001639628,0.09790756,0.0087726,0.06444628,0.8256149,0.0002977087],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.00326873,0.003883444,0.3070627,0.001111498,0.00241129,0.0009217485,0.1398259,0.5105336,0.03098103],"genre_scores_gemma":[0.0186189,0.002373683,0.3750364,0.001542546,0.0004473217,0.003567362,0.4588616,0.09338891,0.04616333],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.1423747,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04108677955781548,"score_gpt":0.2587343120268128,"score_spread":0.2176475324689973,"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."}}