{"id":"W3165780649","doi":"10.3758/s13415-021-00919-4","title":"Meta-control: From psychology to computational neuroscience","year":2021,"lang":"en","type":"review","venue":"Cognitive Affective & Behavioral Neuroscience","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":66,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Deutsche Forschungsgemeinschaft; John Templeton Foundation","keywords":"Operationalization; Cognitive science; Cognition; Cognitive neuroscience; Psychology; Control (management); Perspective (graphical); Systems neuroscience; Terminology; Neuroscience; Cognitive psychology; Normative; Computational neuroscience; Neuroinformatics; Computer science; Artificial intelligence","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":[0.002049656,0.001419918,0.00291557,0.00261223,0.0003438124,0.002666818,0.002405233,0.002708683,0.004995994],"category_scores_gemma":[0.00345509,0.0005645948,0.0008477653,0.003378783,0.002373334,0.003929483,0.001495153,0.002806726,0.001566312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001621338,"about_ca_system_score_gemma":0.002528509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002532154,"about_ca_topic_score_gemma":0.003398321,"domain_scores_codex":[0.9995487,0.0001296617,0.00005589575,0.0001025215,0.0001318045,0.00003137011],"domain_scores_gemma":[0.9976296,0.001858804,0.0001364413,0.0000872834,0.0002053167,0.00008260998],"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":[0.0001169953,0.00007761997,0.0002401464,0.02188091,0.0003749991,0.0001086835,0.00007689043,0.00092674,0.0003999615,0.03299676,0.02583956,0.9169607],"study_design_scores_gemma":[0.00009805708,0.0001209693,0.002014377,0.02113177,0.0006217236,0.001233322,0.0001054194,0.0008691723,0.0005995839,0.08318735,0.8899265,0.00009170223],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00003158166,0.9985346,0.0005119768,0.0003293981,0.0001089647,0.000001938665,0.00000897581,0.000005263158,0.0004674316],"genre_scores_gemma":[0.0009834085,0.9970093,0.0007459189,0.0004593539,0.0004909332,0.00001112822,0.00002476772,0.00000521125,0.0002699403],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004995994,"threshold_uncertainty_score":0.01671326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5338567698017412,"score_gpt":0.5217566030317704,"score_spread":0.01210016676997083,"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."}}