{"id":"W2950532129","doi":"10.1038/nn.4500","title":"Best practices in data analysis and sharing in neuroimaging using MRI","year":2017,"lang":"en","type":"review","venue":"Nature Neuroscience","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":716,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University; McGill University; Montreal Neurological Institute and Hospital","funders":"National Institute of Neurological Disorders and Stroke; National Institute of Mental Health; National Institute on Aging; ZonMw; National Institute of Biomedical Imaging and Bioengineering; Wellcome Trust","keywords":"Neuroimaging; Data sharing; Exploit; Best practice; Open science; Transparency (behavior); Data science; Set (abstract data type); Computer science; Functional neuroimaging; Psychology; Neuroscience; Medicine; Political science; Pathology; Computer security","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01674748,0.001740045,0.002898539,0.006163174,0.00071117,0.004391044,0.004702015,0.003914409,0.004528728],"category_scores_gemma":[0.03388774,0.001063423,0.00201831,0.006522296,0.00469367,0.00607972,0.003011646,0.006271908,0.00326338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002334311,"about_ca_system_score_gemma":0.006526604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003808042,"about_ca_topic_score_gemma":0.004668197,"domain_scores_codex":[0.9950042,0.001820597,0.001012594,0.0007480347,0.001192525,0.0002220405],"domain_scores_gemma":[0.9625921,0.03023766,0.001343434,0.001937214,0.003296384,0.0005932744],"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":[0.00006657896,0.00005667666,0.0002474447,0.02244611,0.0002739143,0.000212796,0.0002256512,0.0007029963,0.0006024733,0.01787497,0.03189565,0.9253947],"study_design_scores_gemma":[0.00004574517,0.00006102395,0.0009718378,0.02991068,0.0004468623,0.002022274,0.0002430401,0.0006211439,0.001406402,0.06286088,0.901292,0.0001181451],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00009009428,0.985144,0.009244214,0.003215791,0.0007246548,0.00003198693,0.00007321748,0.0001061697,0.001369994],"genre_scores_gemma":[0.001385511,0.9793311,0.01511498,0.001974457,0.001390319,0.0000849441,0.0001914223,0.00006001901,0.0004671984],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9832525,"threshold_uncertainty_score":0.08857024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4805627963409329,"score_gpt":0.5028363094715491,"score_spread":0.02227351313061621,"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."}}