{"id":"W4280508579","doi":"10.31234/osf.io/ka3ed","title":"Angry, sad, or scared? Within-valence mapping of emotion words to facial and body cues in 2- to 4-year-old children","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Psychology; Facial expression; Valence (chemistry); Emotional valence; Cognitive psychology; Developmental psychology; Comprehension; Cognition; Communication; Linguistics","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":[0.001335979,0.001032487,0.0008152882,0.001175671,0.0006986477,0.001624941,0.0005559235,0.000877434,0.002249997],"category_scores_gemma":[0.003288572,0.0007137273,0.0007478512,0.000368147,0.001100414,0.001036838,0.0009742225,0.001008761,0.0009025412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006307867,"about_ca_system_score_gemma":0.0005541299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01744777,"about_ca_topic_score_gemma":0.01569087,"domain_scores_codex":[0.9994794,0.00005628137,0.00006606771,0.0001340769,0.0001223046,0.0001419514],"domain_scores_gemma":[0.9987822,0.0004291982,0.000368263,0.00009901799,0.0001577206,0.0001635931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001701684,0.002562326,0.767249,0.0004510505,0.00009496629,0.005694637,0.04837012,0.0006309408,0.130933,0.0006030599,0.001339552,0.0403696],"study_design_scores_gemma":[0.00004493319,0.001263889,0.9714101,0.00005133544,0.00008129603,0.002132999,0.01059275,0.0004610344,0.01215475,0.0002694023,0.001477029,0.00006049531],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993585,0.00004892727,0.00004848784,0.00001233331,0.00000373265,0.00001202988,0.0001033572,0.00001109625,0.0004015567],"genre_scores_gemma":[0.9974225,0.0002503543,0.0005089894,0.0000477056,0.000005211421,0.0000643212,0.0003721666,0.000009563704,0.001319218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01744777,"threshold_uncertainty_score":0.03469241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05527283134530558,"score_gpt":0.3108552676972204,"score_spread":0.2555824363519148,"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."}}