{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001915474,0.0003395161,0.0002046928,0.0004467614,0.0001393968,0.0003071747,0.0001885988,0.0002308056,0.0009123707],"category_scores_gemma":[0.001036782,0.0001310134,0.0001091582,0.0001709587,0.0003432871,0.0002517526,0.0003218511,0.0002420532,0.00005288244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002373219,"about_ca_system_score_gemma":0.000131573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001381269,"about_ca_topic_score_gemma":0.002511321,"domain_scores_codex":[0.999916,0.00001690405,0.000005557368,0.00003013082,0.0000156781,0.00001564121],"domain_scores_gemma":[0.9995416,0.0001030672,0.0002362863,0.0000362964,0.00001688295,0.00006585976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001781178,0.0002172872,0.4854474,0.0001511333,0.0002161058,0.003585877,0.0008496363,0.004315392,0.4617014,0.002611308,0.0003207309,0.03880252],"study_design_scores_gemma":[0.00002228634,0.0003051244,0.964717,0.00002004281,0.00007414736,0.002547183,0.0002202458,0.00956753,0.01928255,0.002816988,0.0004106227,0.00001625298],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984421,0.00004835887,0.001055874,0.00001807961,0.000001663621,0.000005413202,0.0000364766,0.00001853909,0.00037351],"genre_scores_gemma":[0.9994179,0.00002682749,0.0004207938,0.000005923944,0.000001877395,0.000004537641,0.0000360909,0.000004433745,0.00008163835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001381269,"threshold_uncertainty_score":0.003052175,"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."}}