{"id":"W2896303583","doi":"10.3758/s13420-018-0362-x","title":"Thought control with the dopamine transient","year":2018,"lang":"en","type":"article","venue":"Learning & Behavior","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Dopamine; Psychology; Neuroscience; Transient (computer programming); Neural activity; Control (management); Cognitive psychology; Cognitive science; Artificial intelligence; Computer science","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":[0.0002057546,0.0001791072,0.0001367579,0.0001954425,0.0001366686,0.0007022096,0.0002239275,0.0002910766,0.003308137],"category_scores_gemma":[0.002699357,0.0001636483,0.0001582053,0.0001854005,0.0005373342,0.0007783467,0.0003762353,0.0005041485,0.0001568604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001897395,"about_ca_system_score_gemma":0.0001593684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003044574,"about_ca_topic_score_gemma":0.0002787476,"domain_scores_codex":[0.9998912,0.00002570365,0.000005630539,0.00003717635,0.00002577816,0.00001460415],"domain_scores_gemma":[0.9995698,0.0002582241,0.00004796152,0.00003973534,0.00002577592,0.00005839954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00168556,0.0003671446,0.01277885,0.0001945405,0.0001724376,0.0008250833,0.0007832202,0.0121174,0.7257761,0.1030041,0.002396893,0.1398986],"study_design_scores_gemma":[0.0004170226,0.0008886183,0.1963389,0.0001227921,0.0001408327,0.001902538,0.0004934822,0.3778494,0.130766,0.2860084,0.004932408,0.0001396078],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8412579,0.0009201145,0.1330251,0.001144798,0.0003537707,0.00004492393,0.0001984441,0.0002658726,0.02278911],"genre_scores_gemma":[0.994643,0.00006863523,0.004243325,0.00003976445,0.00003791399,0.000008644198,0.00003173151,0.00002385909,0.0009031253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003308137,"threshold_uncertainty_score":0.01106685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01895535270757831,"score_gpt":0.2682554087515637,"score_spread":0.2493000560439854,"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."}}