{"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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["open_science"],"category_scores_codex":[0.01669984,0.0001739482,0.0003104785,0.0006349878,0.0003884112,0.009715302,0.005520562,0.00002863039,0.00631035],"category_scores_gemma":[0.006082705,0.0001440671,0.00003960478,0.001206661,0.00002875787,0.000485544,0.06236679,0.0002919847,0.0005158601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006549468,"about_ca_system_score_gemma":0.00008710898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005551915,"about_ca_topic_score_gemma":0.0002438371,"domain_scores_codex":[0.9925302,0.0005595741,0.0007869436,0.004127519,0.001808057,0.0001876879],"domain_scores_gemma":[0.9924677,0.0003870287,0.0003565946,0.006308119,0.000335003,0.000145569],"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":[0.00002084785,0.0003200659,0.05177114,0.000002058507,0.00001816896,0.000003805374,0.002184235,0.001280089,0.00001811827,0.0003933253,0.7675773,0.1764109],"study_design_scores_gemma":[0.0002847019,0.0001004373,0.4379369,0.000008425221,0.00002523282,6.128344e-7,0.008497746,0.00968059,0.000008076418,0.02906323,0.5140666,0.000327448],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.868565,0.00004150032,0.01870941,0.02635472,0.005344145,0.004241832,0.0001768997,0.0002403573,0.07632613],"genre_scores_gemma":[0.9316657,0.000002788421,0.009366834,0.001788123,0.0001722159,0.0002626869,0.0003657684,0.00001719893,0.05635864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3861657,"threshold_uncertainty_score":0.99986,"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."}}