{"id":"W4212853957","doi":"10.3390/su14042104","title":"Tailor-Made Training for Industrial Sector Employees","year":2022,"lang":"en","type":"article","venue":"Sustainability","topic":"University-Industry-Government Innovation Models","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Order (exchange); Quarter (Canadian coin); Training (meteorology); European union; Marketing; Business; Engineering; Public relations; Management; Political science; Economics; Finance; Economic policy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003303286,0.0002921651,0.0001799437,0.0008965429,0.001119441,0.001349511,0.001054408,0.00108857,0.009693313],"category_scores_gemma":[0.006708389,0.0001252202,0.0002487146,0.0005586253,0.0006166876,0.001038083,0.002867279,0.0007462458,0.001455988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001438509,"about_ca_system_score_gemma":0.002913545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001043855,"about_ca_topic_score_gemma":0.003176108,"domain_scores_codex":[0.9976813,0.001018095,0.00007840289,0.0001341221,0.000455785,0.0006323387],"domain_scores_gemma":[0.9943926,0.002035233,0.0006733033,0.0007145192,0.0006003947,0.001583916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005719837,0.0123416,0.06285504,0.0008403515,0.00002679638,0.001228602,0.02668298,0.004435425,0.01692551,0.007871965,0.01205227,0.8541675],"study_design_scores_gemma":[0.0005242346,0.0272301,0.5059416,0.003107218,0.0001558878,0.002891977,0.08995971,0.01748878,0.04356577,0.0179933,0.2908439,0.0002974894],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9353963,0.0003680853,0.009750738,0.001649305,0.0001140729,0.0008522575,0.00007443737,0.0003058175,0.05148906],"genre_scores_gemma":[0.9748147,0.0002364271,0.01076809,0.0002044091,0.0000373715,0.0002362423,0.00007447367,0.00001653546,0.01361166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009693313,"threshold_uncertainty_score":0.03242743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06147101009039698,"score_gpt":0.2556271020334687,"score_spread":0.1941560919430717,"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."}}