{"id":"W4386454375","doi":"10.2139/ssrn.4561553","title":"Civility in Hybrid Meetings: Current State of Research","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Public Relations and Crisis Communication","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Civility; State (computer science); Current (fluid); Political science; Law; Politics; Engineering; Computer science; Electrical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02475468,0.00004087044,0.00008927809,0.0003758061,0.0004404071,0.00004866044,0.0004588509,0.00001874155,0.00001588208],"category_scores_gemma":[0.0008149811,0.00003923289,0.0000464135,0.001356963,0.0001628892,0.0002191241,0.00007116925,0.001611932,0.00002911608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008526022,"about_ca_system_score_gemma":0.003169698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001080312,"about_ca_topic_score_gemma":0.01451729,"domain_scores_codex":[0.9967012,0.0009739846,0.0002804835,0.00009815836,0.0005781511,0.001368044],"domain_scores_gemma":[0.9991618,0.0002449231,0.0001031285,0.0001773209,0.0002604109,0.00005245862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002535068,0.0001692781,0.02495772,0.000009854662,0.00002889072,0.000001107338,0.008128574,0.0001384386,0.00006306492,0.344366,0.001532554,0.6205791],"study_design_scores_gemma":[0.0001928971,0.00004652814,0.01883653,0.00003739962,0.000002297744,0.000002293343,0.008279446,0.0003097487,0.00001869625,0.9398049,0.03240884,0.00006042896],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9815593,0.0030337,0.000243027,0.004294669,0.0001082965,0.0001348765,0.000001558425,0.00002908801,0.01059548],"genre_scores_gemma":[0.972993,0.0261844,0.000008821988,0.000002748368,0.00005559158,0.000006603073,0.000002690631,0.000004462073,0.00074171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6205187,"threshold_uncertainty_score":0.8579525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05925712215907072,"score_gpt":0.4296532389167254,"score_spread":0.3703961167576547,"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."}}