{"id":"W6989250060","doi":"","title":"Application of asset management to preservation of urban infrastructure","year":2000,"lang":"en","type":"article","venue":"NPARC","topic":"Facilities and Workplace Management","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"IT asset management; Asset management; Asset (computer security); Scope (computer science); Process (computing); Component (thermodynamics); Risk management; Off-balance-sheet","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006785771,0.0001767716,0.0001201422,0.0009166909,0.0008464907,0.002287766,0.0006499543,0.000498954,0.001719779],"category_scores_gemma":[0.001340384,0.0001472142,0.0001623223,0.0009880404,0.002952846,0.001244389,0.002017646,0.0007016523,0.0001871933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001532538,"about_ca_system_score_gemma":0.001579045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004975433,"about_ca_topic_score_gemma":0.006057063,"domain_scores_codex":[0.9992974,0.0003079473,0.00002775829,0.00005948383,0.0002274519,0.0000799861],"domain_scores_gemma":[0.9995688,0.0001579739,0.00006537962,0.00007574959,0.0001006841,0.00003135892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001595988,0.00007071278,0.00562859,0.000221022,0.00001746396,0.0004302307,0.003281389,0.01968141,0.003434535,0.5486559,0.002950723,0.4156121],"study_design_scores_gemma":[0.0000213507,0.000314196,0.02086119,0.0005507962,0.00006062275,0.001658267,0.009436456,0.09949954,0.01571602,0.551136,0.300683,0.0000625371],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1889731,0.004675361,0.518077,0.006084973,0.0001339604,0.0002755886,0.0000602397,0.0007301309,0.2809896],"genre_scores_gemma":[0.8986431,0.002572516,0.09143954,0.0001284747,0.00004842663,0.00005898032,0.00003052366,0.00002754237,0.00705089],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004975433,"threshold_uncertainty_score":0.01111943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007151246602661023,"score_gpt":0.2550064340801305,"score_spread":0.2478551874774695,"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."}}