{"id":"W3174331430","doi":"10.1145/3463511","title":"NeckFace","year":2021,"lang":"en","type":"article","venue":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","topic":"Emotion and Mood Recognition","field":"Psychology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Facial expression; Chin; Wearable computer; Computer vision; Artificial intelligence; Headphones; Match moving; Face (sociological concept); Pipeline (software); Facial muscles; Human–computer interaction; Motion (physics); Engineering; Psychology; Communication; Embedded system; Medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.000108046,0.0001478969,0.000207652,0.0001067609,0.0001228539,0.00004063334,0.0005777616,0.0001712633,0.0001611418],"category_scores_gemma":[0.0009505294,0.0001052975,0.00008769982,0.000292029,0.0001958959,0.0001384789,0.0006832173,0.0003864707,0.00004827206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002963065,"about_ca_system_score_gemma":0.00001371803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001406042,"about_ca_topic_score_gemma":0.000002944946,"domain_scores_codex":[0.9991019,0.00001172902,0.0001958545,0.0003454733,0.000129681,0.0002153342],"domain_scores_gemma":[0.999,0.000123313,0.000187711,0.0003850986,0.0002844961,0.00001935846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005675511,0.001360076,0.00905622,0.0002419605,0.0004720015,0.00001487294,0.004419433,0.000004394289,0.4791437,0.03525605,0.04733825,0.4221254],"study_design_scores_gemma":[0.0004027552,0.0004547088,0.003608907,0.000328645,0.00003446656,0.00009869332,0.03448964,0.000004203478,0.9201531,0.02932859,0.01093418,0.0001621392],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9423581,0.0008041935,0.000002906913,0.002652006,0.00047827,0.0002664607,0.00000779158,0.0002866368,0.05314358],"genre_scores_gemma":[0.9944438,0.0003447033,0.0002746794,0.0001707473,0.00002867483,0.0001653261,7.235267e-7,0.00001587993,0.004555483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4410093,"threshold_uncertainty_score":0.4293909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01953324686604767,"score_gpt":0.2979942208339685,"score_spread":0.2784609739679208,"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."}}