{"id":"W2156488159","doi":"10.1139/l05-125","title":"Workforce training initiatives for megaproject success","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Workforce; Apprenticeship; Training (meteorology); Productivity; Business; Megaproject; Workforce planning; Workforce development; Engineering; Economic growth; Operations management; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.002315865,0.0002180162,0.0001240419,0.0008997914,0.003863453,0.00288629,0.0008926577,0.0009522607,0.0249951],"category_scores_gemma":[0.003522285,0.0001195963,0.0001260584,0.0008210443,0.001145361,0.0008554359,0.005091237,0.001239228,0.001216985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005421176,"about_ca_system_score_gemma":0.03216344,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03677555,"about_ca_topic_score_gemma":0.148062,"domain_scores_codex":[0.9985245,0.0003102157,0.00002106288,0.00005946798,0.0003734857,0.0007112206],"domain_scores_gemma":[0.9938776,0.0003460052,0.0002634692,0.00007885134,0.0006377315,0.004796293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009316854,0.0007594675,0.06651808,0.0007763627,0.00001927251,0.001061554,0.01320205,0.0008143834,0.002166848,0.06690256,0.1789623,0.668724],"study_design_scores_gemma":[0.00004293207,0.0003835752,0.2267947,0.001274425,0.00001696086,0.000554833,0.03459195,0.0008072061,0.0008032498,0.01054569,0.7241477,0.00003669227],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.405699,0.008820403,0.005426904,0.1128732,0.001271166,0.0005034111,0.0003588848,0.0005232271,0.4645239],"genre_scores_gemma":[0.9295078,0.003480369,0.004920383,0.0034949,0.0001995293,0.0002005691,0.000224046,0.00005232805,0.05792008],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9632245,"threshold_uncertainty_score":0.08361691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06851505673184963,"score_gpt":0.3052257756425072,"score_spread":0.2367107189106576,"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."}}