{"id":"W2098315148","doi":"10.1139/l07-101","title":"Using structural equation modeling to analyze relationships among key causes of delay in construction","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":92,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Chung Hua University; National Science Council","keywords":"Structural equation modeling; Schedule; Key (lock); Computer science; Work (physics); Construction industry; Industrial engineering; Operations research; Econometrics; Engineering; Mathematics; Construction engineering; Mechanical engineering","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":[0.009038058,0.001280007,0.000814693,0.004331995,0.0008062765,0.001801987,0.000947569,0.001058907,0.002076433],"category_scores_gemma":[0.02574596,0.0006131579,0.001651742,0.005397664,0.0007564872,0.002306556,0.001851645,0.002109979,0.0002078706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003329522,"about_ca_system_score_gemma":0.006081922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01839296,"about_ca_topic_score_gemma":0.02694692,"domain_scores_codex":[0.9926167,0.00551186,0.0003579708,0.0004300861,0.0007980368,0.0002853842],"domain_scores_gemma":[0.9737425,0.02197609,0.00219347,0.0004172086,0.001418212,0.0002524925],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002926222,0.001261126,0.4725754,0.001407257,0.00285815,0.0007515639,0.01318388,0.2399697,0.001673324,0.1285485,0.00384051,0.133638],"study_design_scores_gemma":[0.0001843708,0.001115599,0.06952101,0.0008550272,0.001072043,0.0002557436,0.008470084,0.8245997,0.001295606,0.0838977,0.008570298,0.0001628186],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6297352,0.001334229,0.3531169,0.002855067,0.0001866073,0.001330851,0.001659277,0.0002820622,0.009499734],"genre_scores_gemma":[0.897009,0.0009580393,0.09862036,0.0001398784,0.00003215136,0.0009792271,0.001289297,0.00002205118,0.0009499485],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01839296,"threshold_uncertainty_score":0.0477984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1521550956306048,"score_gpt":0.3016314661665467,"score_spread":0.1494763705359419,"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."}}