{"id":"W2105368758","doi":"10.1061/9780784412329.143","title":"A Research Framework for Work Sampling and Its Application in Developing Comparative Direct and Support Activity Proportions for Different Trades","year":2012,"lang":"en","type":"article","venue":"Construction Research Congress 2012","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Crew; Sampling (signal processing); Productivity; Work (physics); Computer science; Experience sampling method; Operations research; Engineering; Telecommunications","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":[],"consensus_categories":[],"category_scores_codex":[0.002563343,0.0001525588,0.000292305,0.0006144338,0.0007107851,0.0001124544,0.0001121085,0.0002140087,0.000714704],"category_scores_gemma":[0.0006297576,0.0001445475,0.00004289618,0.0004682062,0.0004512899,0.0004796242,0.00007003022,0.000620379,0.00003174834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001897951,"about_ca_system_score_gemma":0.00009136649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000186039,"about_ca_topic_score_gemma":0.00007523919,"domain_scores_codex":[0.9975102,0.0006213873,0.000372305,0.0004355212,0.0003472568,0.0007133306],"domain_scores_gemma":[0.9945898,0.00418167,0.000131167,0.0002103315,0.0006734872,0.0002135335],"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":[0.001736856,0.0005354962,0.0620967,0.0003800501,0.0002109564,7.719037e-7,0.01061403,0.000003552669,0.001050229,0.7486418,0.007008984,0.1677206],"study_design_scores_gemma":[0.002314282,0.0002754402,0.75349,0.000425035,0.00002766567,0.00005409355,0.01053007,0.0008091144,0.003581553,0.01175676,0.2161606,0.0005753044],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9273066,0.0006205721,0.06138993,0.001888599,0.001209258,0.004833553,0.0002314775,0.0001056867,0.002414334],"genre_scores_gemma":[0.9896355,0.00005578148,0.00461351,0.00001774848,0.0002550235,0.00445051,0.00005788713,0.0000205318,0.0008934561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7368851,"threshold_uncertainty_score":0.7825508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3631951455388164,"score_gpt":0.5553289898752111,"score_spread":0.1921338443363946,"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."}}