{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006810779,0.0003012972,0.0003454839,0.002423111,0.003572657,0.006778125,0.001774652,0.002032467,0.008899267],"category_scores_gemma":[0.01634329,0.0002620079,0.0004149264,0.002720071,0.005272441,0.00992444,0.006809673,0.001299114,0.001099191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002545735,"about_ca_system_score_gemma":0.003868838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001960294,"about_ca_topic_score_gemma":0.002435764,"domain_scores_codex":[0.9825034,0.01163137,0.0003155518,0.0006349107,0.00332606,0.001588739],"domain_scores_gemma":[0.9662368,0.02289301,0.003005768,0.003384373,0.002226309,0.002253738],"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":[0.0003332705,0.0005882464,0.05488931,0.001313092,0.0001001153,0.004636028,0.1230694,0.008327235,0.00548732,0.196088,0.01419249,0.5909756],"study_design_scores_gemma":[0.00008951415,0.0007162785,0.08066668,0.002248324,0.0001113728,0.00407873,0.2979253,0.01159626,0.004786401,0.2252933,0.3722925,0.0001953663],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6253974,0.002294855,0.0260734,0.01081191,0.000108208,0.0002197331,0.0001291035,0.0001309494,0.3348344],"genre_scores_gemma":[0.9901749,0.0004461231,0.003317279,0.0001396024,0.00003385926,0.00002966399,0.00005113327,0.00001272253,0.005794717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008899267,"threshold_uncertainty_score":0.03601933,"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."}}