{"id":"W3003771948","doi":"10.1002/hbm.24941","title":"Network failures: When incentives trigger impulsive responses","year":2020,"lang":"en","type":"article","venue":"Human Brain Mapping","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"NIHR Cambridge Biomedical Research Centre; Medical Research Council; National Institute for Health and Care Research; Medical Research Council Canada; Wellcome Trust","keywords":"Functional magnetic resonance imaging; Impulsivity; Psychology; Incentive salience; Incentive; Neuroscience; Impulse (physics); Anticipation (artificial intelligence); Developmental psychology; Addiction","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003899983,0.0002488935,0.0003062894,0.00009970232,0.001097338,0.0001364336,0.0003646945,0.0000650428,0.0002780124],"category_scores_gemma":[0.01711537,0.0002502019,0.0001230936,0.000453114,0.0002723947,0.0003113961,0.0003706829,0.0003076292,0.0002200365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006557246,"about_ca_system_score_gemma":0.00004940183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000161642,"about_ca_topic_score_gemma":0.00001253511,"domain_scores_codex":[0.9974671,0.0005550105,0.0002980006,0.0008057885,0.0003772215,0.0004968584],"domain_scores_gemma":[0.9912828,0.008121552,0.0001544448,0.0002563981,0.00005548456,0.0001293173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002016964,0.00004081775,0.001709594,0.000057498,0.00003952687,0.00008820697,0.008150466,0.0001836104,0.5337827,0.03155399,0.4238222,0.0003697335],"study_design_scores_gemma":[0.001371089,0.0003426075,0.0355395,0.0001547159,0.00001762155,0.00001765741,0.001785806,0.000424564,0.004535424,0.03965471,0.9153641,0.000792157],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4999258,0.0004656441,0.00776453,0.4732928,0.0008703531,0.001399476,0.00005118291,0.001208284,0.015022],"genre_scores_gemma":[0.9285437,0.000004714021,0.0003393712,0.06773716,0.001076113,0.00004739079,0.000003242467,0.00003696996,0.002211347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5292473,"threshold_uncertainty_score":0.999995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0963630614413859,"score_gpt":0.2853561155437837,"score_spread":0.1889930541023978,"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."}}