{"id":"W2213713716","doi":"10.1109/iccv.2015.430","title":"Learning to Transfer: Transferring Latent Task Structures and Its Application to Person-Specific Facial Action Unit Detection","year":2015,"lang":"en","type":"article","venue":"","topic":"Emotion and Mood Recognition","field":"Psychology","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Nottingham; McMaster University","keywords":"Computer science; Transfer of learning; Task (project management); Artificial intelligence; Action (physics); Multi-task learning; Point (geometry); Machine learning","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001598611,0.0001301648,0.0001126861,0.0002081637,0.0001338206,0.00003569644,0.00004778374,0.0001280483,0.0002694294],"category_scores_gemma":[0.000008850523,0.0001290339,0.00003500373,0.0002178627,0.000008774924,0.0001032166,0.000005241768,0.0001859832,0.0003249727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005022763,"about_ca_system_score_gemma":0.00000739995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008819793,"about_ca_topic_score_gemma":0.0002893045,"domain_scores_codex":[0.9990824,0.00009474996,0.0001486918,0.0003362978,0.0001459979,0.0001918806],"domain_scores_gemma":[0.9995565,0.00001297809,0.0000135695,0.00008077116,0.00009529304,0.0002408253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004100554,0.00004583305,0.0002595398,0.00001348829,0.00002936814,0.000001207843,0.01782658,0.0005274125,0.2173546,0.001473285,0.0001827574,0.7618758],"study_design_scores_gemma":[0.009045151,0.00480642,0.2333364,0.00007448215,0.0001859935,0.0002572105,0.07925861,0.00275658,0.3231426,0.0009109246,0.3441577,0.002067979],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8515241,0.00003209294,0.1425065,0.0003893488,0.0003747974,0.0005430871,0.000004760963,0.0001744908,0.004450797],"genre_scores_gemma":[0.9980565,0.00001496881,0.00008686195,0.0001759747,0.0001943238,0.00008634767,0.00001879984,0.00002078128,0.001345491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7598079,"threshold_uncertainty_score":0.526185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09515913738914585,"score_gpt":0.3172944086234852,"score_spread":0.2221352712343394,"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."}}