{"id":"W6912435281","doi":"10.5281/zenodo.5268158","title":"Community EQ: Empathy as a KPI in Post-COVID19 Business Culture","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Digital Education and Society","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hotel Dieu Hospital","funders":"","keywords":"Empathy; Consistency (knowledge bases); Element (criminal law); Isolation (microbiology); Process (computing); Work (physics); Organizational culture; Matching (statistics)","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":[0.008400596,0.0003337162,0.0003014193,0.002170651,0.01610272,0.01599274,0.001286466,0.002610946,0.006968169],"category_scores_gemma":[0.01265219,0.0002681439,0.0003912822,0.001672136,0.01540991,0.01025005,0.02303869,0.006448866,0.000696076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007699333,"about_ca_system_score_gemma":0.007033599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009935481,"about_ca_topic_score_gemma":0.01125624,"domain_scores_codex":[0.9892431,0.005926442,0.0002935223,0.0006689497,0.001657465,0.002210504],"domain_scores_gemma":[0.9912223,0.002707865,0.001613633,0.0005338875,0.001310096,0.002612218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00005688057,0.0001581023,0.01645462,0.0001237934,0.00001831406,0.0009143519,0.8104292,0.0001206645,0.0008782576,0.1058563,0.01034799,0.05464141],"study_design_scores_gemma":[0.000006572995,0.0001229658,0.02226951,0.0002336042,0.000009041464,0.000528212,0.8511141,0.0002841639,0.0005702462,0.01371261,0.1110777,0.0000712278],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8001049,0.001555186,0.003563796,0.03418447,0.0006519695,0.0001145129,0.00005479351,0.00007480426,0.1596955],"genre_scores_gemma":[0.9892551,0.0003429365,0.0004531833,0.001747003,0.0000514639,0.00004848984,0.000021006,0.00003216232,0.008048789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01610272,"threshold_uncertainty_score":0.05586278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0401819163309895,"score_gpt":0.2653276331457198,"score_spread":0.2251457168147303,"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."}}