{"id":"W1549475028","doi":"10.1109/ccece.2015.7129456","title":"Facial emotion detection of smartphone games users","year":2015,"lang":"en","type":"article","venue":"","topic":"Emotion and Mood Recognition","field":"Psychology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"","keywords":"Interactivity; Computer science; Human–computer interaction; Facial expression; Mobile device; Facial recognition system; Multimedia; Emotion recognition; Face (sociological concept); Face detection; Feature extraction; Artificial intelligence; World Wide Web","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001482821,0.00005398673,0.00007836465,0.00009080458,0.00001678625,0.000004774909,0.00003033297,0.00008462799,0.001014951],"category_scores_gemma":[0.00003108082,0.00004927389,0.00004052692,0.0001073088,0.00002902621,0.00006335896,0.000007197401,0.0000530896,0.0006764534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001900807,"about_ca_system_score_gemma":0.00001076056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000173785,"about_ca_topic_score_gemma":0.0001055687,"domain_scores_codex":[0.9994902,0.00006625271,0.0001428898,0.0001122278,0.00009687498,0.00009157896],"domain_scores_gemma":[0.9996811,0.00001064476,0.00005862267,0.00009432664,0.00009493136,0.00006033884],"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":[0.000430305,0.0005907943,0.005359988,0.00002203562,0.0001077618,0.000004365128,0.009214289,0.0000155787,0.04184916,0.00256835,0.01785672,0.9219807],"study_design_scores_gemma":[0.01369111,0.002812093,0.5338246,0.00006168785,0.0001677099,0.0001528129,0.04078994,0.0005398699,0.3303477,0.008947596,0.06773033,0.0009345303],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8773905,0.00001882487,0.01223335,0.0001046562,0.001662622,0.00009397198,0.000002907151,0.00008169436,0.1084115],"genre_scores_gemma":[0.9935927,0.000002690287,0.0001461901,0.00009764882,0.0001078666,0.000003725877,0.00001187616,0.000006722478,0.006030597],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9210461,"threshold_uncertainty_score":0.9998983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05623392315679245,"score_gpt":0.3114879931376875,"score_spread":0.2552540699808951,"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."}}