{"id":"W2007173432","doi":"10.1016/j.bbr.2010.08.043","title":"Dopamine transporter genotype predicts implicit sequence learning","year":2010,"lang":"en","type":"article","venue":"Behavioural Brain Research","topic":"Child and Animal Learning Development","field":"Psychology","cited_by":41,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Neurological Disorders and Stroke; National Institute of Mental Health; Canadian Institutes of Health Research; Intellectual and Developmental Disabilities Research Center; National Institute on Aging; National Institutes of Health; DNA Genotek","keywords":"Psychology; Dopamine transporter; Sequence learning; Implicit learning; Cognitive psychology; Serial reaction time; Context (archaeology); Dopamine; Developmental psychology; Neuroscience; Artificial intelligence; Cognition; Computer science; Biology","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":[0.0009217532,0.0003931279,0.0003508651,0.0003612851,0.0002084458,0.0007857663,0.0004624261,0.0008289693,0.007908032],"category_scores_gemma":[0.004442323,0.0003275768,0.0002330294,0.0001817327,0.0005797811,0.0007696226,0.0003870265,0.001355398,0.0008698966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002264078,"about_ca_system_score_gemma":0.00025673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00126481,"about_ca_topic_score_gemma":0.002051682,"domain_scores_codex":[0.9996574,0.00009502604,0.00004035899,0.00009986014,0.00007233634,0.00003501632],"domain_scores_gemma":[0.9946543,0.002303739,0.001569425,0.0007140903,0.0002717443,0.0004867082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.009298156,0.004855394,0.7432399,0.0001531792,0.0005541003,0.000760903,0.000578018,0.002695637,0.2032745,0.002146741,0.0007439773,0.03169941],"study_design_scores_gemma":[0.0001763716,0.001978113,0.9619929,0.00004631243,0.0001601537,0.001616243,0.000203134,0.01117813,0.0177283,0.004116083,0.0007571899,0.00004704377],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999303,0.00001702015,0.0001783141,0.00002861475,0.000004776686,0.000002726825,0.00006815589,0.000006997429,0.0003903378],"genre_scores_gemma":[0.9968712,0.00005204055,0.0005015105,0.00002411597,0.000004538471,0.00001024786,0.0002003496,0.00003324629,0.002302853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007908032,"threshold_uncertainty_score":0.02645504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1172682398918592,"score_gpt":0.4096625719780397,"score_spread":0.2923943320861805,"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."}}