{"id":"W4224253621","doi":"10.1016/j.tins.2022.03.011","title":"Bridging the big (data) gap: levels of control in small- and large-scale cognitive neuroscience research","year":2022,"lang":"en","type":"review","venue":"Trends in Neurosciences","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Brock University","funders":"Canada Excellence Research Chairs, Government of Canada; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Canada Research Chairs; British Academy","keywords":"Bridging (networking); Cognitive neuroscience; Neuroscience; Psychology; Cognition; Clinical neuroscience; Cognitive science; Developmental cognitive neuroscience; Scale (ratio); Cognitive psychology; Data science; Computer science; Neurology; Physics","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":["metaresearch","metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.006785595,0.0004547184,0.001252098,0.002041206,0.001026287,0.000206233,0.002907809,0.00009776309,0.00003506078],"category_scores_gemma":[0.02880596,0.0003271682,0.0001465791,0.008988493,0.003280195,0.0003860777,0.002881932,0.001749081,0.000002864083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009606534,"about_ca_system_score_gemma":0.0004604878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001156226,"about_ca_topic_score_gemma":0.0009449188,"domain_scores_codex":[0.9900464,0.00397411,0.0008541023,0.002540974,0.001503136,0.001081274],"domain_scores_gemma":[0.9690857,0.0294294,0.0004324538,0.0009070724,0.00004791262,0.00009748216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002225868,0.0002641573,0.0005427746,0.000514976,0.000002388796,0.0001213857,0.0004118339,0.00001532886,0.0002039342,0.0002098684,0.0001695838,0.9975215],"study_design_scores_gemma":[0.001333446,0.0007745852,0.008519169,0.002321786,0.000102373,0.0003093124,0.0008646611,0.004684215,0.00006631728,0.0003608874,0.979748,0.0009152622],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004111202,0.9780418,0.0001643175,0.002684211,0.006133686,0.002183543,0.003472717,0.000098583,0.003109944],"genre_scores_gemma":[0.09803192,0.8995738,0.000006811831,0.001222885,0.0001550361,0.0003165707,0.000004996353,0.0000450843,0.0006428674],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9966062,"threshold_uncertainty_score":0.999918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6092802256514563,"score_gpt":0.460784068373006,"score_spread":0.1484961572784503,"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."}}