{"id":"W2936490869","doi":"10.14455/isec.res.2019.179","title":"THE POTENTIAL OF KNOWLEDGE MANAGEMENT ON CONSTRUCTION SITES","year":2019,"lang":"en","type":"article","venue":"Proceedings of International Structural Engineering and Construction","topic":"Civil and Structural Engineering Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Knowledge management; Business; Multidisciplinary approach; Process (computing); Investment (military); Variety (cybernetics); Knowledge sharing; Knowledge transfer; Phase (matter); Quarter (Canadian coin); Order (exchange); Operations management; Computer science; Engineering; Finance","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":[],"consensus_categories":[],"category_scores_codex":[0.00007395932,0.0001518181,0.0001530171,0.0001777187,0.00004498894,0.00004321652,0.0001672009,0.00005703083,0.00002067086],"category_scores_gemma":[0.000017088,0.0001192356,0.00005849693,0.0001537086,0.00008734669,0.0001494368,0.00004509086,0.0001631547,0.000002367131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004701848,"about_ca_system_score_gemma":0.000003499059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002417274,"about_ca_topic_score_gemma":2.090366e-7,"domain_scores_codex":[0.9991806,0.00000136369,0.0002675735,0.0001463065,0.0002423746,0.0001618347],"domain_scores_gemma":[0.9996507,0.00003647281,0.0000570395,0.00005761191,0.0001567802,0.00004138095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001640572,0.000008610037,0.009476295,0.001218935,0.0006146532,9.967321e-7,0.000170935,0.05527538,0.2702823,0.4825067,0.00009840769,0.1801828],"study_design_scores_gemma":[0.001839861,0.0002703155,0.1307588,0.0005226741,0.00007392694,0.0004473299,0.001439114,0.7495271,0.1065333,0.004533702,0.003288943,0.0007649368],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927396,0.0002594914,0.00006743884,0.00002577283,0.001242007,0.0001353774,0.000009133222,0.00009425014,0.005426919],"genre_scores_gemma":[0.9974341,0.0003593453,0.002016145,7.851867e-7,0.00008653602,0.000006995047,0.00000429915,0.00001584995,0.00007588609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6942517,"threshold_uncertainty_score":0.4862285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002939032382120733,"score_gpt":0.1928850941915545,"score_spread":0.1899460618094338,"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."}}