{"id":"W2025220807","doi":"10.3389/fnhum.2014.00239","title":"Big data, open science and the brain: lessons learned from genomics","year":2014,"lang":"en","type":"review","venue":"Frontiers in Human Neuroscience","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":167,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital","funders":"National Human Genome Research Institute; National Institutes of Health","keywords":"Data sharing; Big data; Open data; Open science; Data science; Scale (ratio); Engineering ethics; Psychology; Computer science; Medicine; Engineering; World Wide Web","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","open_science"],"consensus_categories":[],"category_scores_codex":[0.04258399,0.0009320448,0.001607558,0.002990097,0.004866089,0.01229139,0.002943708,0.01199298,0.002787017],"category_scores_gemma":[0.03830762,0.0005272646,0.00108306,0.003372582,0.04618662,0.03488358,0.008983294,0.02382764,0.0006352179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006400812,"about_ca_system_score_gemma":0.01089799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00670313,"about_ca_topic_score_gemma":0.008765269,"domain_scores_codex":[0.9857351,0.01006686,0.0004761262,0.0008153467,0.002042056,0.0008644543],"domain_scores_gemma":[0.8816833,0.106687,0.001163363,0.00324312,0.003973305,0.003249844],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000811339,0.00009400834,0.001228072,0.001074464,0.00004842602,0.0006702164,0.008321425,0.001016545,0.0001682024,0.854021,0.04044414,0.09283241],"study_design_scores_gemma":[0.00002269684,0.00003815421,0.0005025397,0.001556073,0.00000998137,0.0002540148,0.005776369,0.000601262,0.0001394729,0.9001012,0.09096082,0.00003746173],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.004771782,0.1510212,0.01249361,0.8166653,0.002923524,0.00003601095,0.00007740899,0.00004603083,0.01196504],"genre_scores_gemma":[0.2986285,0.4104182,0.04032891,0.2205586,0.02488255,0.0003522839,0.0002173268,0.0002128319,0.004400885],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9970563,"threshold_uncertainty_score":0.2252083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3258130859630068,"score_gpt":0.3915530504690897,"score_spread":0.06573996450608283,"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."}}