{"id":"W4239970282","doi":"10.1186/1687-5281-2007-048757","title":"Multispace Behavioral Model for Face-Based Affective Social Agents","year":2007,"lang":"en","type":"article","venue":"EURASIP Journal on Image and Video Processing","topic":"Face recognition and analysis","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; Carleton University","funders":"","keywords":"Biometrics; Face (sociological concept); Behavioral modeling; Computer science; Psychology; Facial recognition system; Artificial intelligence; Cognitive psychology; Pattern recognition (psychology); Sociology","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":[0.0006250766,0.0001593855,0.0001874779,0.0002180725,0.0007482917,0.0006655441,0.0002082426,0.00005966295,0.000005021583],"category_scores_gemma":[0.00004907017,0.0001374274,0.0001429798,0.0002308352,0.00004927084,0.0008294342,0.00003185181,0.0002513258,0.000005403639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006153356,"about_ca_system_score_gemma":0.0000877054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001930509,"about_ca_topic_score_gemma":0.000005865155,"domain_scores_codex":[0.9988527,0.00004081743,0.0002346298,0.0002661293,0.0002727293,0.0003329555],"domain_scores_gemma":[0.9992445,0.00007021573,0.0002092515,0.00007130719,0.0002399322,0.0001648514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000103195,0.0003026034,0.0004626878,0.00006169238,0.00002724405,0.00008282932,0.003104569,0.0005836009,0.008793946,0.00007872138,0.0008712268,0.9855277],"study_design_scores_gemma":[0.001670061,0.0001622556,0.001808779,0.0001189981,0.00005445887,0.00004377483,0.0003386252,0.9838233,0.01085078,0.0006135238,0.0002257944,0.0002896631],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09862301,0.00008264276,0.8998665,0.001071736,0.00006298436,0.00009937562,0.000003568314,0.00004729934,0.0001428311],"genre_scores_gemma":[0.9316931,0.000007634043,0.06714408,0.0008478761,0.00011554,0.000004438627,0.000001838044,0.00001355277,0.0001719232],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.985238,"threshold_uncertainty_score":0.6417857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05455573166263564,"score_gpt":0.3601744038113294,"score_spread":0.3056186721486938,"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."}}