{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008035087,0.0006974998,0.0004213537,0.0005060387,0.0006162552,0.001343768,0.001263047,0.0009599605,0.005417108],"category_scores_gemma":[0.001474739,0.0002587257,0.0008403999,0.0002268914,0.000873878,0.001930225,0.001451698,0.00105652,0.00136643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001099923,"about_ca_system_score_gemma":0.0008905483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004556468,"about_ca_topic_score_gemma":0.003669912,"domain_scores_codex":[0.9991385,0.0003043521,0.00005438617,0.0001669821,0.0002595799,0.00007624333],"domain_scores_gemma":[0.9993599,0.0002283002,0.00007047371,0.00009788964,0.0001747871,0.00006863004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001468453,0.0001957432,0.002138699,0.00008648584,0.00006710775,0.000287462,0.0007065966,0.4669959,0.008820766,0.4796218,0.001867388,0.0390651],"study_design_scores_gemma":[0.00001290562,0.00003936498,0.0001820636,0.000005493402,0.00001158153,0.00004104153,0.0000603035,0.9574769,0.0007549626,0.03847569,0.002928547,0.00001120845],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01744806,0.0000694167,0.9675793,0.0005043781,0.00005680905,0.00009184964,0.0001484681,0.0004660677,0.01363554],"genre_scores_gemma":[0.7118118,0.000191696,0.2636994,0.0002881735,0.00006325817,0.0009211216,0.0003249723,0.0001496482,0.02255006],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005417108,"threshold_uncertainty_score":0.01812202,"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."}}