{"id":"W3138832226","doi":"10.1016/j.jecp.2021.105097","title":"How to turn that frown upside down: Children make use of a listener’s facial cues to detect and (attempt to) repair miscommunication","year":2021,"lang":"en","type":"article","venue":"Journal of Experimental Child Psychology","topic":"Child and Animal Learning Development","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Psychology; Nonverbal communication; Facial expression; Perception; Emotional expression; Expression (computer science); Gesture; Social cue; Cognitive psychology; Developmental psychology; Social psychology; Communication; Linguistics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00131458,0.0006349001,0.0003078975,0.0002335357,0.0005719815,0.001937924,0.0008345684,0.001584814,0.004184685],"category_scores_gemma":[0.01037593,0.0008039181,0.0003626779,0.0001254899,0.001516934,0.001478591,0.0009928856,0.002087887,0.001249103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002276156,"about_ca_system_score_gemma":0.0005213529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002615815,"about_ca_topic_score_gemma":0.003246971,"domain_scores_codex":[0.9992782,0.0001687412,0.00003036514,0.000160186,0.0002190381,0.0001434554],"domain_scores_gemma":[0.9974269,0.001225793,0.0005508122,0.0003068589,0.0002427322,0.0002469833],"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":[0.0007402708,0.0009016083,0.06989197,0.0005290192,0.0001417192,0.003046254,0.06863347,0.001375717,0.7781826,0.00571055,0.004872389,0.06597437],"study_design_scores_gemma":[0.0004053207,0.003222154,0.4462993,0.0007337058,0.0009047279,0.007558664,0.1263172,0.01924365,0.3372614,0.01352324,0.04400926,0.0005212845],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9814968,0.000126498,0.004238226,0.0005989589,0.00009935284,0.00005552447,0.00005552404,0.0001540093,0.01317503],"genre_scores_gemma":[0.9821875,0.0002019974,0.01191071,0.000493998,0.00001200692,0.00009076976,0.00009928954,0.0001312416,0.004872532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004184685,"threshold_uncertainty_score":0.01399916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0449768580429094,"score_gpt":0.3381333152075899,"score_spread":0.2931564571646805,"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."}}