{"id":"W2008607322","doi":"10.1073/pnas.0911855107","title":"Toward discovery science of human brain function","year":2010,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":3093,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"National Center for Advancing Translational Sciences; Howard Hughes Medical Institute; National Institute on Drug Abuse; National Institute of Biomedical Imaging and Bioengineering; National Institute of Neurological Disorders and Stroke; National Institute of Mental Health","keywords":"Human Connectome Project; Connectome; Neuroimaging; Functional connectivity; Resting state fMRI; Neuroscience; Connectomics; Drug discovery; Functional neuroimaging; Brain function; Biology; Psychology; Computer science; Bioinformatics","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":[],"consensus_categories":[],"category_scores_codex":[0.01273876,0.00100413,0.001911754,0.004381205,0.001276493,0.004935952,0.001813776,0.002801724,0.00510303],"category_scores_gemma":[0.02753413,0.0006011643,0.001213803,0.002561474,0.008750139,0.01072118,0.004926555,0.007369285,0.002275786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002700606,"about_ca_system_score_gemma":0.004634711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002545079,"about_ca_topic_score_gemma":0.001240764,"domain_scores_codex":[0.9958609,0.002069518,0.0001442491,0.0008037794,0.0009820038,0.000139612],"domain_scores_gemma":[0.9863259,0.008682113,0.0004178651,0.002531756,0.001499888,0.0005424774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007763219,0.00006948957,0.002601146,0.0007095227,0.0002105052,0.0001106628,0.0004738456,0.003004659,0.00160829,0.8273684,0.04147469,0.1222911],"study_design_scores_gemma":[0.00001814208,0.00002805712,0.001188754,0.0002242558,0.00002806847,0.00005224348,0.0001394732,0.004624521,0.0004316243,0.9364684,0.05677344,0.00002303026],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02560924,0.1004167,0.5310267,0.2657901,0.00325895,0.000394525,0.005520592,0.002016198,0.06596704],"genre_scores_gemma":[0.3490615,0.1131184,0.4680635,0.03619856,0.006754647,0.001436415,0.005435957,0.00073554,0.01919549],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01273876,"threshold_uncertainty_score":0.06736982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07769050459478065,"score_gpt":0.3260120909098814,"score_spread":0.2483215863151007,"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."}}