{"id":"W2908039270","doi":"10.1111/infa.12277","title":"Infants’ Ability to Detect Emotional Incongruency: Deep or Shallow?","year":2019,"lang":"en","type":"article","venue":"Infancy","topic":"Child and Animal Learning Development","field":"Psychology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Psychology; Gaze; Cognitive psychology; Inference; Cognition; Associative learning; Associative property; Task (project management); Object (grammar); Developmental psychology; Artificial intelligence; Neuroscience; Computer science","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":[0.000581275,0.0001988948,0.0002134564,0.0002846506,0.0001244598,0.0005550602,0.0001946781,0.0002927442,0.001389011],"category_scores_gemma":[0.004152324,0.0002134664,0.0001287041,0.0000895258,0.0005266492,0.0003538073,0.0005712974,0.0005191054,0.0002494412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001143437,"about_ca_system_score_gemma":0.0001494995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001066139,"about_ca_topic_score_gemma":0.001277002,"domain_scores_codex":[0.9997012,0.00004030572,0.00002625839,0.00005740318,0.000109041,0.00006584697],"domain_scores_gemma":[0.9980395,0.0005943573,0.0007504665,0.0002215891,0.0001947408,0.0001992162],"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":[0.000420846,0.000161729,0.3283927,0.0002121366,0.00006787121,0.001584671,0.006672727,0.000253318,0.6081507,0.0007573491,0.0002524765,0.05307354],"study_design_scores_gemma":[0.00000385092,0.0003025823,0.9574381,0.00002700969,0.00003947616,0.001680526,0.001619986,0.0003933278,0.03750232,0.000366735,0.0006088269,0.000017233],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998427,0.00009032801,0.0004364344,0.00002283564,0.000001791945,0.000002913508,0.00001804571,0.00000855602,0.0009922044],"genre_scores_gemma":[0.9989647,0.0001073942,0.0004944542,0.00001347347,0.000001448927,0.000006400671,0.00002621519,0.000004142409,0.0003819145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001389011,"threshold_uncertainty_score":0.004646659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01403869782169623,"score_gpt":0.2950238278186046,"score_spread":0.2809851299969084,"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."}}