{"id":"W4221015383","doi":"10.1061/9780784483978.076","title":"Identifying Multilevel Metrics for Construction Competency and Performance Measures","year":2022,"lang":"en","type":"article","venue":"Construction Research Congress 2022","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Multilevel model; Knowledge management; Construction industry; Profitability index; Computer science; Performance measurement; Engineering; Business; Marketing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01110083,0.0002396705,0.0003990288,0.00304735,0.004241361,0.0007288581,0.0009683946,0.00007911448,0.002630011],"category_scores_gemma":[0.002652389,0.0002363391,0.00012224,0.003530036,0.001585359,0.001035236,0.001183061,0.0008827365,0.00004289158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002424813,"about_ca_system_score_gemma":0.0003859037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004281381,"about_ca_topic_score_gemma":0.00002437306,"domain_scores_codex":[0.9925326,0.0009142819,0.000938602,0.001025183,0.003896137,0.0006931961],"domain_scores_gemma":[0.9950026,0.001866413,0.000405498,0.0006918706,0.001837204,0.0001963639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002564761,0.00002947227,0.04236428,0.00004823817,0.00004969676,0.000003703532,0.000318708,0.00009564756,0.0006771174,0.03000375,0.004860484,0.9212924],"study_design_scores_gemma":[0.003718548,0.0008873428,0.01715636,0.0000408014,0.00006213949,0.0008420768,0.03706339,0.06855887,0.003797702,0.04788326,0.8190696,0.0009199627],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.943958,0.001225962,0.03229129,0.001309652,0.01109507,0.002593376,0.0002766782,0.0002199242,0.007029979],"genre_scores_gemma":[0.9819592,0.0004957316,0.01204752,0.00006682321,0.0002177302,0.0007697393,0.00002923357,0.00003058715,0.004383453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9203725,"threshold_uncertainty_score":0.9982817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3167108441618492,"score_gpt":0.4543778396191806,"score_spread":0.1376669954573314,"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."}}