{"id":"W7133017424","doi":"","title":"Cortical mechanisms of emotion regulation in young children responding to angry, neutral, and happy faces","year":2005,"lang":"","type":"dissertation","venue":"TSpace","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Library and Archives Canada","funders":"","keywords":"Electroencephalography; Anger; Facial expression; Normative; Emotion classification; Affect (linguistics); Affective neuroscience; Trait","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002553047,0.0003276546,0.0001826191,0.0004989809,0.000159189,0.0004176638,0.0001279122,0.0001536246,0.001844047],"category_scores_gemma":[0.0009260129,0.0002441711,0.000201118,0.0001819902,0.0005181763,0.0002274474,0.0002507425,0.0003030069,0.0002071099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003045186,"about_ca_system_score_gemma":0.000177097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002243368,"about_ca_topic_score_gemma":0.003566013,"domain_scores_codex":[0.9998962,0.00001419993,0.000005332409,0.0000279067,0.00002438685,0.00003190046],"domain_scores_gemma":[0.9996904,0.0001252845,0.00009808744,0.00001434748,0.00003242091,0.00003946082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001342574,0.0002377845,0.1850698,0.0003550616,0.00008658835,0.00275996,0.003694172,0.0004231935,0.7588268,0.0009919232,0.0006411598,0.04557089],"study_design_scores_gemma":[0.0000194111,0.0001746463,0.9871293,0.00001434676,0.00002488229,0.0007843039,0.0005504577,0.0001399065,0.01067185,0.0001804306,0.0003030986,0.000007265702],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985244,0.000167862,0.0002925138,0.000018725,0.000002505831,0.00000929513,0.00007881782,0.00001159439,0.0008942961],"genre_scores_gemma":[0.9973634,0.0003241516,0.001171744,0.00002598529,0.000004350652,0.00003955563,0.0001797352,0.00001284109,0.0008782172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002243368,"threshold_uncertainty_score":0.006168962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0670733757972287,"score_gpt":0.4068971117582375,"score_spread":0.3398237359610087,"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."}}