{"id":"W1965986531","doi":"10.7492/ijaec.2012.025","title":"A Framework for Identifying, Monitoring, and Controlling Construction Workforce Absenteeism Using the Absenteeism Tracking Tool","year":2012,"lang":"en","type":"article","venue":"International Journal of Architecture Engineering and Construction","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Absenteeism; Workforce; Workforce management; Tracking (education); Computer science; Business; Economics; Psychology; Management; Economic growth","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008996666,0.0001336286,0.000198728,0.000232148,0.0004193704,0.00004992459,0.0001183927,0.0001343863,0.0000107827],"category_scores_gemma":[0.0006560083,0.0001010777,0.0000809569,0.00008227536,0.00008728052,0.0002546835,0.00004046563,0.0008435703,6.065217e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001158059,"about_ca_system_score_gemma":0.0001165624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001786624,"about_ca_topic_score_gemma":7.391916e-7,"domain_scores_codex":[0.9985332,0.0000901716,0.0005614511,0.0001116864,0.0003722582,0.0003312611],"domain_scores_gemma":[0.9977354,0.001257251,0.0003859058,0.00007292145,0.0004137222,0.0001348012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001316382,0.00004311318,0.4162293,0.0003989385,0.0004927054,0.000006292468,0.004864282,0.01044549,0.00506897,0.07453112,0.00002578328,0.4865776],"study_design_scores_gemma":[0.01493933,0.0006462188,0.7525296,0.01224203,0.0006410643,0.01010446,0.01960323,0.06956387,0.003149579,0.06688257,0.04800539,0.001692668],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5751399,0.001011691,0.4185807,0.0005156309,0.004471065,0.0002426822,0.000008781743,0.00001422621,0.00001535894],"genre_scores_gemma":[0.8906705,0.0002739376,0.1048321,0.00005062834,0.004122376,0.00001669588,0.000002385534,0.00001848801,0.00001289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4848849,"threshold_uncertainty_score":0.4121827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06349680933470044,"score_gpt":0.4244917780443971,"score_spread":0.3609949687096967,"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."}}