{"id":"W749327865","doi":"","title":"A Mood Driven Computational Model for Gross Emotion Regulation Process Paradigm","year":2012,"lang":"en","type":"article","venue":"","topic":"Mental Health Research Topics","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Dynamism; Mood; Cognitive psychology; Process (computing); Consistency (knowledge bases); Cognition; Psychology; Computational model; Function (biology); Component (thermodynamics); Computer science; Conceptual model; Affective science; Artificial intelligence; Cognitive science; Social psychology; Emotion work","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":[0.0004599715,0.0003953949,0.0004693685,0.0002915262,0.0003665899,0.001231621,0.001401455,0.0008763381,0.004900776],"category_scores_gemma":[0.001285109,0.0002260002,0.0008576697,0.0002780455,0.0006300135,0.001228564,0.0008276062,0.001076508,0.0006260456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007644038,"about_ca_system_score_gemma":0.0008194103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002295654,"about_ca_topic_score_gemma":0.001632971,"domain_scores_codex":[0.9997582,0.00008615658,0.00001296102,0.00006240582,0.00004779416,0.00003250435],"domain_scores_gemma":[0.9996749,0.0001710115,0.00003574124,0.0000397917,0.00004429452,0.00003415439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001386634,0.0001335686,0.001775407,0.000111282,0.00007756213,0.0003290735,0.000535046,0.5040773,0.007917142,0.4655139,0.001323755,0.01806735],"study_design_scores_gemma":[0.0000183967,0.00002516318,0.0002189571,0.000004120967,0.00001406645,0.00003486784,0.00001777041,0.9491723,0.0002814783,0.04946547,0.0007390964,0.000008328458],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06992498,0.0002043927,0.9074509,0.001176222,0.00009041646,0.0001315037,0.0002843693,0.0002856822,0.0204515],"genre_scores_gemma":[0.8853709,0.0002710958,0.1057464,0.0002263585,0.00006141305,0.0004933967,0.0001531296,0.00005923799,0.007618131],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004900776,"threshold_uncertainty_score":0.01639473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.152046259206841,"score_gpt":0.4796591873442229,"score_spread":0.3276129281373819,"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."}}