{"id":"W7113252170","doi":"","title":"Workplace communication in VR : Leaders attitudes towards leadership training","year":2024,"lang":"sv","type":"article","venue":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Manning Diversified Forest Products (Canada)","funders":"","keywords":"Conversation; Training (meteorology); Affect (linguistics); Legitimacy; Realism; Complement (music)","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":[0.002816543,0.0002453615,0.0001944284,0.0006166053,0.00136798,0.003147653,0.000301243,0.00102818,0.006590905],"category_scores_gemma":[0.0131907,0.0002380702,0.0002599155,0.0001961819,0.000990355,0.0009438845,0.001266038,0.00131564,0.0009488464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000489965,"about_ca_system_score_gemma":0.0006851106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000818569,"about_ca_topic_score_gemma":0.0009209184,"domain_scores_codex":[0.9957645,0.002494818,0.0001168311,0.0001616514,0.0009713019,0.0004908888],"domain_scores_gemma":[0.9860507,0.008239876,0.002247432,0.0002581281,0.001389268,0.001814622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004857192,0.002635286,0.3787043,0.001023161,0.000149588,0.002167029,0.3732303,0.0009358723,0.01963996,0.002702085,0.007177689,0.211149],"study_design_scores_gemma":[0.0000873747,0.002780869,0.3534269,0.0009367167,0.0001205927,0.002861428,0.5979033,0.002269928,0.003727575,0.001570249,0.03413775,0.0001773665],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989331,0.0003574879,0.0007820801,0.0006770466,0.00006701927,0.00001304264,0.000006905505,0.00001978918,0.008745702],"genre_scores_gemma":[0.9984869,0.0001621265,0.0001717012,0.0001730421,0.00002180204,0.000007648288,0.000006743826,0.000005609039,0.0009645394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006590905,"threshold_uncertainty_score":0.02204877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1571156606945638,"score_gpt":0.34741490989444,"score_spread":0.1902992491998762,"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."}}