{"id":"W4223956046","doi":"10.31219/osf.io/pu5vb","title":"Open and reproducible neuroimaging: from study inception to publication","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; McGill University; Montreal Heart Institute; Montreal Neurological Institute and Hospital","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute of Mental Health; Health Canada; Narodowa Agencja Wymiany Akademickiej; Novo Nordisk Fonden; Elsass Fonden; Novo Nordisk; AXA Research Fund; Weizmann Institute of Science; Agence Nationale de la Recherche; Alan Turing Institute; Fondation Brain Canada; National Institutes of Health; Canada First Research Excellence Fund; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; McGill University; Deutsche Forschungsgemeinschaft; Engineering and Physical Sciences Research Council; UK Research and Innovation; National Science Foundation","keywords":"Open science; Data science; Neuroimaging; Modalities; Knowledge management; Computer science; Psychology; Sociology; Social science","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch","open_science"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.3750151,0.0008885061,0.002092237,0.02024065,0.003470231,0.02217318,0.004427089,0.00313317,0.007888602],"category_scores_gemma":[0.5866455,0.001977663,0.001948869,0.02072426,0.007830442,0.02314213,0.01462988,0.00433775,0.003080352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00925223,"about_ca_system_score_gemma":0.04627466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003982851,"about_ca_topic_score_gemma":0.004570655,"domain_scores_codex":[0.737893,0.1657308,0.03913445,0.01586458,0.03736576,0.004011475],"domain_scores_gemma":[0.1913181,0.5904049,0.04531395,0.08829215,0.07232175,0.01234921],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001077161,0.0001514788,0.02931874,0.01509396,0.0005790389,0.0006474011,0.02991533,0.00047593,0.001717889,0.04799075,0.04378159,0.8292507],"study_design_scores_gemma":[0.0006093854,0.0009257437,0.05413603,0.06614324,0.001903422,0.0009279274,0.02101882,0.001092586,0.01053013,0.1131262,0.7291195,0.0004668605],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1104472,0.2417332,0.2600885,0.2258495,0.008701564,0.01158858,0.02400813,0.00862533,0.108958],"genre_scores_gemma":[0.4317285,0.1056892,0.3871789,0.02117196,0.004724898,0.02518346,0.009615948,0.00486262,0.009844706],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9955729,"threshold_uncertainty_score":0.7707176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4172652433431168,"score_gpt":0.4986964902816511,"score_spread":0.08143124693853426,"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."}}