{"id":"W4221083881","doi":"10.1061/9780784483961.001","title":"A Sensor-Based Empirical Framework to Measure Construction Labor Productivity","year":2022,"lang":"en","type":"article","venue":"Construction Research Congress 2022","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Measure (data warehouse); Productivity; Computer science; Empirical measure; Data mining; Economics; Statistics; Mathematics; Macroeconomics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008269454,0.001170535,0.0005397373,0.004186353,0.0009426101,0.003874611,0.002219525,0.001322543,0.002655119],"category_scores_gemma":[0.01529579,0.0005290459,0.0009374919,0.003365694,0.003064445,0.003824364,0.002230669,0.001524619,0.0003497349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002874003,"about_ca_system_score_gemma":0.003799421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008149127,"about_ca_topic_score_gemma":0.005679767,"domain_scores_codex":[0.9936758,0.003347129,0.0003994771,0.0009267111,0.001420419,0.0002305929],"domain_scores_gemma":[0.9934276,0.003753923,0.0008101854,0.0006067262,0.001240427,0.0001611934],"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":[0.0001284588,0.001166715,0.05635546,0.00107739,0.0002395326,0.0003631118,0.005262275,0.1191838,0.005055037,0.6770203,0.003327365,0.1308207],"study_design_scores_gemma":[0.0001040464,0.001042961,0.0580349,0.001213676,0.0002071885,0.0004496704,0.00930132,0.5357187,0.004893917,0.3421306,0.04663146,0.000271507],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04264986,0.0009617429,0.9358566,0.001725798,0.00008832922,0.0009399006,0.0008659352,0.0001740441,0.01673771],"genre_scores_gemma":[0.6046114,0.001280782,0.3884077,0.0003419864,0.00007737847,0.002651596,0.0006014036,0.00003919331,0.001988541],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008269454,"threshold_uncertainty_score":0.0437336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.196138316126286,"score_gpt":0.5316682821723496,"score_spread":0.3355299660460636,"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."}}