{"id":"W2003955778","doi":"10.1002/hbm.21069","title":"Population neuroscience: Why and how","year":2010,"lang":"en","type":"review","venue":"Human Brain Mapping","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":156,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Baycrest Hospital; University of Toronto; Montreal Neurological Institute and Hospital","funders":"National Institutes of Health; Canadian Institutes of Health Research; European Commission; Royal Society","keywords":"Population; Neuroscience; Cognitive neuroscience; Psychology; Neuroimaging; Observational study; Causality (physics); Imaging genetics; Cognition; Cognitive science; Medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.009030297,0.001047118,0.002170939,0.00261367,0.0008928457,0.005689634,0.001830756,0.005676159,0.0023871],"category_scores_gemma":[0.01299122,0.0005572299,0.0007849595,0.00226347,0.01118781,0.0108337,0.001985217,0.006229221,0.001077789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002852102,"about_ca_system_score_gemma":0.003778458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006269879,"about_ca_topic_score_gemma":0.006732367,"domain_scores_codex":[0.99697,0.001504836,0.0002033714,0.0006461184,0.0005374831,0.0001382855],"domain_scores_gemma":[0.9906791,0.007269765,0.0003467074,0.0004801892,0.0009197274,0.0003044956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005215535,0.00006840266,0.003064658,0.005648195,0.0004297965,0.0004329449,0.001700828,0.001377616,0.0003673392,0.3732841,0.06564286,0.5479311],"study_design_scores_gemma":[0.00002532631,0.00005648298,0.00391312,0.005356357,0.0001090407,0.001147845,0.001560863,0.0006488048,0.0002256274,0.5036595,0.483216,0.00008089038],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0007376269,0.8464597,0.01110585,0.1298311,0.004367651,0.00003521566,0.00009588881,0.00008079786,0.007286076],"genre_scores_gemma":[0.0250492,0.9113936,0.009619783,0.04036962,0.00962487,0.00014087,0.00007711796,0.00005087047,0.003673993],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.009030297,"threshold_uncertainty_score":0.04775733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07575303010441693,"score_gpt":0.3264931260752852,"score_spread":0.2507400959708683,"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."}}