{"id":"W4401886893","doi":"10.4018/979-8-3693-7668-3.ch013","title":"Enhancing Employee Engagement in Genetic Research through Effective Communication Strategies","year":2024,"lang":"en","type":"book-chapter","venue":"Advances in human resources management and organizational development book series","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Employee engagement; Psychology; Business; Knowledge management; Public relations; Computer science; Political science","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":[0.003482764,0.0004675103,0.0002326937,0.0005951146,0.001271589,0.004793352,0.0008966078,0.001636597,0.01274165],"category_scores_gemma":[0.004423384,0.0001801015,0.0003361327,0.0006402978,0.001224688,0.003494693,0.003133823,0.001649673,0.004919547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009134315,"about_ca_system_score_gemma":0.001748824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003988301,"about_ca_topic_score_gemma":0.001030037,"domain_scores_codex":[0.9978564,0.00130418,0.00004635588,0.0001280899,0.0005058093,0.0001591067],"domain_scores_gemma":[0.995793,0.00328709,0.0002035789,0.000136289,0.0002325924,0.0003474329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003938731,0.0003828098,0.001571383,0.0006276346,0.00001535135,0.0004186232,0.03358809,0.0004649256,0.00562094,0.08295051,0.1175534,0.756767],"study_design_scores_gemma":[0.00002845729,0.0003164606,0.004257163,0.001362524,0.00002307092,0.001045667,0.02085911,0.001037522,0.002859656,0.04962704,0.9185358,0.00004740764],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06650095,0.03250634,0.07157359,0.05353977,0.002519246,0.0004705455,0.0001358845,0.001101609,0.771652],"genre_scores_gemma":[0.2938577,0.03604846,0.1046039,0.01624191,0.001634407,0.001062327,0.0003453539,0.0004610305,0.545745],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01274165,"threshold_uncertainty_score":0.04262507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01260489576435963,"score_gpt":0.2600900445027011,"score_spread":0.2474851487383414,"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."}}