{"id":"W2781546571","doi":"10.1088/1755-1315/109/1/012011","title":"Recruitment criteria and attraction strategies for local trained labour in Malaysia’s construction industry","year":2017,"lang":"en","type":"article","venue":"IOP Conference Series Earth and Environmental Science","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universiti Tun Hussein Onn Malaysia","keywords":"Salary; Overtime; Allowance (engineering); Order (exchange); Payment; Work (physics); Quarter (Canadian coin); Business; Accommodation; Labour economics; Value (mathematics); Economic shortage; Welfare; Construction industry; Marketing; Operations management; Economics; Engineering; Finance; Market economy; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007749958,0.0003080181,0.0003314189,0.001324407,0.00206072,0.00134067,0.001045097,0.0009487934,0.006942838],"category_scores_gemma":[0.009520084,0.0002298588,0.0002953637,0.0007449683,0.0003771628,0.0006147783,0.001784876,0.0005541677,0.001873571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001178673,"about_ca_system_score_gemma":0.005216554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002543402,"about_ca_topic_score_gemma":0.006162461,"domain_scores_codex":[0.9966117,0.001751562,0.0003392982,0.000134528,0.0006027183,0.0005601844],"domain_scores_gemma":[0.9970255,0.0007555765,0.0003849018,0.00007967444,0.0008850656,0.0008692637],"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":[0.001654506,0.005355956,0.3684912,0.004095322,0.00003440066,0.006955304,0.1285145,0.001018886,0.0126773,0.002621036,0.01725086,0.4513309],"study_design_scores_gemma":[0.000497204,0.01158835,0.4716423,0.004276006,0.00008925562,0.003092391,0.4249766,0.006015916,0.008283366,0.002128099,0.06714733,0.0002633101],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9737,0.0006496878,0.003185983,0.001598061,0.00009202344,0.01162999,0.0002023036,0.00004059244,0.008901284],"genre_scores_gemma":[0.9510416,0.001086521,0.02091344,0.0009151463,0.0000501615,0.01484793,0.0003216632,0.00001957228,0.01080394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007749958,"threshold_uncertainty_score":0.04098618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1218457203894658,"score_gpt":0.3507207142475542,"score_spread":0.2288749938580885,"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."}}