{"id":"W34599300","doi":"10.1038/s41585-021-00526-5","title":"THE IMPACT OF EMOTIONAL EXPRESSIONS ON KNOWLEDGE CREATION IN ONLINE COMMUNITIES","year":2010,"lang":"en","type":"article","venue":"International Conference on Information Systems","topic":"Knowledge Management and Sharing","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Bishop's University","funders":"","keywords":"Asynchronous communication; Knowledge management; Knowledge sharing; Extant taxon; Cognition; Quality (philosophy); Psychology; Focus (optics); Social knowledge; Knowledge creation; Online community; Computer science; World Wide Web; Sociology; Business; Epistemology; Marketing","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":[0.002436102,0.0002061805,0.0002075353,0.000690373,0.001368528,0.003113192,0.0003064142,0.0007141699,0.002401787],"category_scores_gemma":[0.02335553,0.0001560916,0.000210625,0.0004618625,0.001447613,0.001510214,0.00255175,0.0007135018,0.0002219878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005807772,"about_ca_system_score_gemma":0.0004330816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004684895,"about_ca_topic_score_gemma":0.00045291,"domain_scores_codex":[0.9967034,0.002241014,0.0001004962,0.0001667884,0.00045485,0.0003333859],"domain_scores_gemma":[0.9741862,0.02017184,0.002518669,0.0005757405,0.001172689,0.001374886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003932413,0.0022187,0.3206729,0.001476758,0.000317009,0.003255494,0.3167351,0.002819336,0.05477716,0.02160185,0.002344122,0.2698491],"study_design_scores_gemma":[0.0002153247,0.00129996,0.786294,0.0004219819,0.0003773122,0.001281383,0.1605052,0.008074163,0.01052976,0.01899807,0.01182835,0.0001744905],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.979738,0.000164032,0.001089739,0.000266083,0.00002036099,0.00003471013,0.00001631533,0.00001082123,0.01865988],"genre_scores_gemma":[0.9990692,0.00006565915,0.0003380302,0.00004046853,0.00001010837,0.00002173279,0.000008679022,0.00000498265,0.0004412284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003113192,"threshold_uncertainty_score":0.01288348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07905824502319088,"score_gpt":0.3982120291389929,"score_spread":0.319153784115802,"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."}}