{"id":"W4409791162","doi":"10.61091/jcmcc127a-442","title":"A Bayesian network-based analysis of the potential impact of emotion management skills on task completion efficiency improvement","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Mental Health Research Topics","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Task (project management); Bayesian network; Computer science; Bayesian probability; Artificial intelligence; Machine learning; Psychology; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003247701,0.0006866091,0.0005747292,0.001696342,0.0003395791,0.000979942,0.000600316,0.0005805134,0.002483856],"category_scores_gemma":[0.01346142,0.000316981,0.0009314753,0.0008836919,0.0004346659,0.001648354,0.0005236594,0.0008041629,0.0002034223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001264927,"about_ca_system_score_gemma":0.0009527575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01207517,"about_ca_topic_score_gemma":0.007210123,"domain_scores_codex":[0.9988014,0.0005572072,0.00005630406,0.0002769681,0.0002104444,0.00009779425],"domain_scores_gemma":[0.9930366,0.005583055,0.0005136334,0.0001611356,0.0006100392,0.00009554072],"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":[0.0005226759,0.0003655392,0.06119991,0.000183921,0.0003598737,0.0002335592,0.0004541615,0.7996756,0.003896698,0.0292076,0.001062782,0.1028376],"study_design_scores_gemma":[0.000007876863,0.00004543009,0.01009242,0.00001289818,0.0000532242,0.00003458975,0.00003555716,0.9825235,0.0003331992,0.006668128,0.000177666,0.00001554157],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3339024,0.0003515348,0.6598672,0.0004356012,0.00002753544,0.0001460766,0.0003705476,0.0001826827,0.004716429],"genre_scores_gemma":[0.9710187,0.0002533378,0.02680034,0.00004242701,0.0000172148,0.0001280244,0.0003166318,0.00001988157,0.001403454],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01207517,"threshold_uncertainty_score":0.02400976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01216367355447331,"score_gpt":0.3398547000113232,"score_spread":0.3276910264568499,"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."}}