{"id":"W6892826457","doi":"10.5281/zenodo.12792705","title":"Expert Office Cleaning in Coal Harbor: Ensure a Pristine Work Environment","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Facilities and Workplace Management","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Quality (philosophy); Troubleshooting; Productivity; Ideal (ethics); Government (linguistics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002287714,0.0004734225,0.0002689155,0.0007219786,0.008660726,0.006591599,0.001445203,0.003249756,0.1288039],"category_scores_gemma":[0.005451262,0.0003866878,0.0004080688,0.0003813243,0.00233862,0.004490019,0.009066738,0.002953768,0.06266533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001840863,"about_ca_system_score_gemma":0.00742197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00676159,"about_ca_topic_score_gemma":0.02096874,"domain_scores_codex":[0.9969363,0.0004242285,0.00006649271,0.0002449061,0.001742506,0.0005856553],"domain_scores_gemma":[0.9951829,0.0003234346,0.0001771383,0.0003820416,0.001409718,0.002524697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000526238,0.0002402835,0.002847256,0.0003218469,0.000006503587,0.0006613423,0.005978934,0.0002152491,0.003354772,0.007539895,0.7219941,0.2567873],"study_design_scores_gemma":[0.00001021472,0.0000888014,0.005149061,0.0002975049,0.000004525916,0.0006150117,0.01264091,0.0002970555,0.001095042,0.004566571,0.9752016,0.00003369859],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03602789,0.002264149,0.01893413,0.09048925,0.007167704,0.0003722516,0.0002832413,0.004047076,0.8404142],"genre_scores_gemma":[0.1779881,0.002563413,0.03347179,0.02131424,0.00149149,0.0002116067,0.0004439372,0.00152501,0.7609905],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8711962,"threshold_uncertainty_score":0.4308919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03280197467022725,"score_gpt":0.257370375596603,"score_spread":0.2245684009263757,"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."}}