{"id":"W4403021466","doi":"10.2139/ssrn.4963031","title":"Reliving Positive and Negative Interpersonal Events Activates a Common Set of Neural Networks for Emotional Evaluation","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Mental Health Research Topics","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Interpersonal communication; Set (abstract data type); Psychology; Negative emotion; Social psychology; Cognitive psychology; Computer science","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":[0.0006951811,0.0004803083,0.0004411036,0.0003769646,0.0004159618,0.001835079,0.0004914189,0.0009037809,0.004263351],"category_scores_gemma":[0.003805752,0.0004798296,0.0006247251,0.0003683194,0.0004627582,0.001313454,0.001125,0.001277799,0.0005156051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004957845,"about_ca_system_score_gemma":0.000391023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001543036,"about_ca_topic_score_gemma":0.002222379,"domain_scores_codex":[0.999564,0.00009670528,0.00001673337,0.0001546175,0.00008490772,0.00008297429],"domain_scores_gemma":[0.9987218,0.0006518438,0.000208634,0.0001196007,0.0001338081,0.0001643763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002157551,0.001197162,0.1073135,0.0005649287,0.00122779,0.0007278663,0.002960641,0.01675342,0.5325665,0.02438591,0.007383024,0.3027619],"study_design_scores_gemma":[0.0001126927,0.0006415394,0.8107117,0.000147837,0.0004688122,0.0005161806,0.0008437913,0.09839629,0.0371199,0.04825868,0.002690421,0.0000922004],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9153911,0.0005968455,0.05209949,0.001174822,0.0002390876,0.0001478562,0.0007908008,0.0002372525,0.02932273],"genre_scores_gemma":[0.9878525,0.000240518,0.007395977,0.0001512372,0.00004253062,0.00006525987,0.0002968545,0.00006913586,0.003886058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004263351,"threshold_uncertainty_score":0.01426232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05803590643469857,"score_gpt":0.4400856560996683,"score_spread":0.3820497496649697,"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."}}