{"id":"W2159096491","doi":"10.5539/mas.v2n6p41","title":"Effective Resources Management in Construction Industries for Success","year":2008,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"BIM and Construction Integration","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scope (computer science); Business; Profit (economics); Productivity; Control (management); Quality (philosophy); Product (mathematics); Environmental economics; Process (computing); Operations management; Computer science; Economics; Economic growth","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":[0.002579814,0.00049674,0.000318285,0.001619329,0.002917306,0.00699186,0.0007808704,0.00125289,0.009751963],"category_scores_gemma":[0.003494201,0.0003196918,0.0002038693,0.001841809,0.003964927,0.00342114,0.00326556,0.001264619,0.002563048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002483427,"about_ca_system_score_gemma":0.007626817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001625804,"about_ca_topic_score_gemma":0.004765445,"domain_scores_codex":[0.9971635,0.0009752533,0.0001368564,0.000199014,0.00121253,0.0003129547],"domain_scores_gemma":[0.9985038,0.0004238271,0.0002009531,0.0001724598,0.0003817958,0.0003171229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0000210256,0.0001192566,0.00221794,0.0003199529,0.00001188088,0.0002930346,0.003294008,0.003252899,0.001804457,0.668358,0.03221003,0.2880975],"study_design_scores_gemma":[0.00001368357,0.00009382584,0.004880201,0.0005626826,0.00001431966,0.0004040635,0.008103673,0.004595133,0.001674133,0.5204997,0.4591139,0.00004461066],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04373398,0.01197477,0.2559917,0.04759544,0.0007927627,0.000372534,0.0000902136,0.0006478769,0.6388008],"genre_scores_gemma":[0.7088826,0.008103533,0.1741055,0.001924409,0.0004552587,0.00040231,0.0001267129,0.0002021622,0.1057977],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009751963,"threshold_uncertainty_score":0.03262359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01009847185842623,"score_gpt":0.2095554180421051,"score_spread":0.1994569461836789,"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."}}