{"id":"W4388133025","doi":"10.46364/ejwi.v8i1.1141","title":"Leveraging a Diverse Collaboration in Tertiary Education to Develop Capability for Workplace Innovation","year":2023,"lang":"en","type":"article","venue":"European Journal of Workplace Innovation","topic":"Organizational Learning and Leadership","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nipissing University; Workplace Health, Safety and Compensation Commission","funders":"","keywords":"Knowledge management; Leverage (statistics); Higher education; Demographics; Adaptation (eye); Diversity (politics); Knowledge transfer; Collaborative learning; Business; Computer science; Psychology; Sociology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004509636,0.0001478538,0.0001566797,0.002367378,0.0001801736,0.0002807195,0.000202547,0.00004007428,0.00003384739],"category_scores_gemma":[0.004992425,0.0001562258,0.00002056931,0.01765182,0.00001892291,0.00125797,0.00005961911,0.000239322,0.0001795892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001887522,"about_ca_system_score_gemma":0.0002597419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009321439,"about_ca_topic_score_gemma":0.00001022346,"domain_scores_codex":[0.9982577,0.0001028371,0.0008983756,0.0002129587,0.0003155272,0.0002126333],"domain_scores_gemma":[0.9954536,0.0001122963,0.000785829,0.0001227036,0.003513904,0.00001167313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009451834,0.0003557614,0.5932077,0.0005305151,0.00006307673,0.00002832115,0.00593632,0.03446922,0.01065025,0.02770641,0.1948671,0.1312401],"study_design_scores_gemma":[0.001657092,0.00005885179,0.8417668,0.0007185671,0.00003264732,0.000007450687,0.009074846,0.00168252,0.0003325236,0.001718919,0.1424895,0.0004602452],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9678043,0.00001109837,0.01337254,0.01607695,0.001052649,0.000377515,0.000001152979,0.00008122583,0.001222625],"genre_scores_gemma":[0.9916552,0.00000118853,0.002827555,0.002897606,0.001642156,0.00000796586,0.0001678847,0.00004407084,0.0007563583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2485591,"threshold_uncertainty_score":0.8481113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03302856540630063,"score_gpt":0.2737492544629188,"score_spread":0.2407206890566182,"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."}}