{"id":"W2972663072","doi":"10.69554/klxv2829","title":"Vested outsourcing in corporate real estate and facilities management","year":2017,"lang":"en","type":"article","venue":"Corporate real estate journal","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Corporate Real Estate; Outsourcing; Real estate; Facility management; Finance; Real estate development; Property management; Marketing","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004898456,0.0003561701,0.000433863,0.0002512199,0.0003827486,0.0004859628,0.0003409964,0.0001133721,0.00002058577],"category_scores_gemma":[0.00001215895,0.0003382695,0.00006579421,0.0001087411,0.0002892925,0.000494145,0.00006006033,0.000584346,0.00002193405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001472999,"about_ca_system_score_gemma":0.00004696868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004606453,"about_ca_topic_score_gemma":0.0008081918,"domain_scores_codex":[0.9981799,0.00004683275,0.0006509171,0.0002672363,0.0002691279,0.0005860498],"domain_scores_gemma":[0.9986181,0.00003032075,0.0005298069,0.0004137706,0.00008089306,0.0003271391],"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":[0.0004885609,0.0001807053,0.3826244,0.001503729,0.0005627832,0.02464456,0.008573657,0.08567591,0.002261138,0.002836421,0.001630517,0.4890176],"study_design_scores_gemma":[0.005147939,0.0003224019,0.8989407,0.0005453366,0.0002097818,0.0007058511,0.002689214,0.07045248,0.000407414,0.008837068,0.01008462,0.001657242],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9053968,0.00005081947,0.002458496,0.00005097472,0.0006922268,0.0001951841,0.00007527597,0.0001592342,0.09092095],"genre_scores_gemma":[0.9215567,0.0756305,0.001398957,0.000006945605,0.0001103492,0.000007345402,0.00002924744,0.00006264565,0.001197296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5163162,"threshold_uncertainty_score":0.999907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07226285952377312,"score_gpt":0.2247549815719192,"score_spread":0.1524921220481461,"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."}}