{"id":"W2620117668","doi":"10.5539/mas.v11n7p28","title":"Causes and Effects of Cost Overrun on Construction Project in Bahrain: Part 2 (PLS-SEM Path Modelling)","year":2017,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cost overrun; Structural equation modeling; Explanatory power; Computer science; Path analysis (statistics); Variable (mathematics); Variables; Mathematics; Construction industry; Construction engineering; Engineering; Machine learning","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002099825,0.0007980574,0.0004129361,0.001937567,0.0006055586,0.001339876,0.0007014063,0.0006090164,0.004316448],"category_scores_gemma":[0.003880468,0.0005144344,0.001327599,0.002167091,0.0005732034,0.0008009201,0.001383979,0.0009069627,0.000238948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00231261,"about_ca_system_score_gemma":0.004170056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03398346,"about_ca_topic_score_gemma":0.02913086,"domain_scores_codex":[0.9988381,0.0004150299,0.00009824721,0.0002184902,0.0001955423,0.0002345776],"domain_scores_gemma":[0.997613,0.001399187,0.0004055627,0.0001007056,0.0003890306,0.00009259818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001624517,0.0003992261,0.9260727,0.0002588607,0.0002375879,0.0008880076,0.005803291,0.02716697,0.001419114,0.006124487,0.0008430434,0.03062427],"study_design_scores_gemma":[0.00003750925,0.0004953996,0.838499,0.0002724936,0.0003371666,0.0003758647,0.01424493,0.1372051,0.001513407,0.003720277,0.003234878,0.00006396885],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951017,0.00006009486,0.002624364,0.0001711986,0.000007395979,0.0001437423,0.0005029397,0.00002444569,0.001364092],"genre_scores_gemma":[0.9956074,0.0001360173,0.002867919,0.00001596934,0.000003340212,0.0001617549,0.0004407907,0.000005449464,0.0007614205],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03398346,"threshold_uncertainty_score":0.06757134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1057476576858946,"score_gpt":0.3606542386089283,"score_spread":0.2549065809230336,"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."}}