{"id":"W2581440761","doi":"10.1016/j.biopsych.2017.01.015","title":"Reversing the Atypical Valuation of Drug and Nondrug Rewards in Smokers Using Multimodal Neuroimaging","year":2017,"lang":"en","type":"article","venue":"Biological Psychiatry","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":46,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine; Université de Montréal; Institut Universitaire en Santé Mentale de Québec; Centre Hospitalier de l’Université de Montréal; McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Transcranial magnetic stimulation; Functional magnetic resonance imaging; Neuroscience; Psychology; Anterior cingulate cortex; Neuroimaging; Excitatory postsynaptic potential; Addiction; Stimulation; Brain stimulation; Prefrontal cortex; Medicine; Inhibitory postsynaptic potential; Cognition","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003105366,0.0001227632,0.0001817215,0.00003678959,0.0005917581,0.00003480878,0.0003108263,0.00006483534,0.000006680866],"category_scores_gemma":[0.0003012815,0.00007080396,0.00005870177,0.00007260701,0.0008436454,0.0001230951,0.000194982,0.0002563019,0.000002466289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001170845,"about_ca_system_score_gemma":0.00001173006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008738331,"about_ca_topic_score_gemma":0.00002355405,"domain_scores_codex":[0.9988359,0.0002118808,0.00022842,0.0003955175,0.0001191496,0.0002090962],"domain_scores_gemma":[0.9993713,0.000123924,0.0001753658,0.0002791738,0.00001586306,0.00003433818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001567171,0.0001002748,0.8514788,0.000007133685,0.000001732827,0.000006122227,0.0001186142,0.000006551873,0.1456946,0.000241865,0.0001000504,0.002087524],"study_design_scores_gemma":[0.0005334149,0.00006639262,0.9928144,0.00003555299,0.00001202486,0.00001886398,0.0001641552,0.0005419005,0.002900001,0.002742962,0.00005594423,0.0001143743],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918801,0.0001242292,0.00001416427,0.006521003,0.0009909234,0.0001860168,0.000004839746,0.00001806268,0.0002606781],"genre_scores_gemma":[0.9986051,0.0000466949,0.0005778123,0.0006670954,0.00007890135,0.000002824514,3.05212e-7,0.000004776761,0.0000164738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1427946,"threshold_uncertainty_score":0.4551385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2953059700642381,"score_gpt":0.4160156274292277,"score_spread":0.1207096573649896,"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."}}