{"id":"W2894138074","doi":"10.1167/18.10.971","title":"The Impact of Self-Relevance and Valence on Word Processing: an ERP study","year":2018,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Advanced Text Analysis Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Psychology; Valence (chemistry); Trait; Cognition; Cognitive psychology; Recall; Emotional valence; Event-related potential; Cognitive bias; Developmental psychology; Neuroscience","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":[0.0008846875,0.00009474979,0.0001824865,0.000120097,0.0001700721,0.0001129482,0.0007161202,0.00002441659,0.000001180055],"category_scores_gemma":[0.00011571,0.00004985696,0.00006688073,0.000358791,0.00007514568,0.0009224265,0.0001060518,0.0001548566,9.52046e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004951857,"about_ca_system_score_gemma":0.00006582128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003811723,"about_ca_topic_score_gemma":0.000003904146,"domain_scores_codex":[0.9988732,0.00009818338,0.000346527,0.0001510303,0.0004060684,0.0001249318],"domain_scores_gemma":[0.998406,0.0001326172,0.0005944679,0.0003523018,0.0004418993,0.00007269712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001802484,0.001231087,0.009755622,0.00000967071,0.00007671501,0.00002037085,0.003565035,0.0001151546,0.01893832,0.0002845807,0.0005161163,0.9653071],"study_design_scores_gemma":[0.001783143,0.05600247,0.7726396,0.0008543271,0.0001142573,0.0002081358,0.0006097437,0.1155657,0.0175331,0.03316583,0.0009599117,0.0005637731],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9259539,0.0002987048,0.07341977,0.0001033611,0.00004386538,0.00009061128,1.440593e-7,0.00003167874,0.00005793031],"genre_scores_gemma":[0.9670505,0.0001483944,0.03269908,0.00001425706,0.00007091228,5.645379e-7,1.863503e-8,0.000004954864,0.00001130079],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9647433,"threshold_uncertainty_score":0.2033108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01443497663423992,"score_gpt":0.3768346529064032,"score_spread":0.3623996762721633,"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."}}