{"id":"W2792924851","doi":"","title":"Employability of local trained skill labour in construction industry","year":2017,"lang":"en","type":"dissertation","venue":"","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Employability; Salary; Overtime; Payment; Order (exchange); Allowance (engineering); Work (physics); Quarter (Canadian coin); Business; Labour economics; Economic shortage; Construction industry; Welfare; Value (mathematics); Engineering; Operations management; Economics; Economic growth; Finance; Market economy; Computer science; Government (linguistics)","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002031182,0.0002272818,0.00055309,0.0008363813,0.0001267772,0.0001564215,0.0008327234,0.0006886556,0.008242274],"category_scores_gemma":[0.0009170719,0.0001847665,0.0001543941,0.0005780141,0.0002932648,0.0004914511,0.0000457933,0.0006801116,0.00007304153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005577815,"about_ca_system_score_gemma":0.0003040219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006913351,"about_ca_topic_score_gemma":0.007930267,"domain_scores_codex":[0.9969037,0.0001219987,0.001155717,0.0005708858,0.001034396,0.0002133026],"domain_scores_gemma":[0.9973939,0.0002236154,0.0009610908,0.000891416,0.000471509,0.00005845675],"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":[0.0001703231,0.00005150842,0.1935468,0.00008236657,0.00002131013,0.000002651335,0.0005932041,0.00002583585,0.00003428687,0.00915469,0.0009130184,0.795404],"study_design_scores_gemma":[0.001126071,0.00008520271,0.9267245,0.0001623061,0.00002957769,0.00000855679,0.01924344,0.0003219095,0.002840543,0.03216714,0.01678917,0.0005016071],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8459728,0.0000219154,0.0002582148,0.00008707523,0.001815848,0.0002880761,0.00002763003,0.00002702549,0.1515014],"genre_scores_gemma":[0.875343,0.00001919284,0.0003333565,0.0000179704,0.00006398832,0.00001523074,0.0000480364,0.000009759475,0.1241495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7949024,"threshold_uncertainty_score":0.9926643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06619743533824962,"score_gpt":0.4068508133987674,"score_spread":0.3406533780605178,"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."}}