{"id":"W841187","doi":"10.1007/bf01852059","title":"ADVANCED ASSET MANAGEMENT: TOOLS AND TECHNIQUES","year":2000,"lang":"en","type":"article","venue":"","topic":"Facilities and Workplace Management","field":"Psychology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Asset management; Asset (computer security); IT asset management; Business; Order (exchange); Work (physics); Capital expenditure; Plan (archaeology); Finance; Work order; Operations management; Economics; Computer science; Engineering; Marketing; Computer security","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001275635,0.0008071031,0.0004015964,0.003552887,0.0005851008,0.00266178,0.001546651,0.0009839353,0.00614012],"category_scores_gemma":[0.002361167,0.0003760187,0.0003421041,0.002357411,0.001208023,0.002996251,0.002212102,0.001252766,0.004904996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004615405,"about_ca_system_score_gemma":0.0009670522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006598004,"about_ca_topic_score_gemma":0.0007219197,"domain_scores_codex":[0.9990484,0.0001919392,0.00005816769,0.000115279,0.000525208,0.00006098201],"domain_scores_gemma":[0.9991081,0.0002098596,0.00009826787,0.0002523582,0.0002114212,0.0001199679],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004502554,0.0000913287,0.001621271,0.0004058464,0.00001472045,0.0003017688,0.0005316714,0.001666075,0.007970197,0.04914843,0.009700446,0.9285032],"study_design_scores_gemma":[0.00005950763,0.0004620855,0.008899719,0.001941288,0.00008019779,0.008034711,0.001269242,0.03251117,0.02852845,0.2101429,0.7078626,0.0002082181],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01054362,0.0173175,0.9023358,0.001538036,0.0003111053,0.0003585984,0.0002518226,0.003375264,0.06396835],"genre_scores_gemma":[0.1027175,0.01463843,0.8601975,0.0002952516,0.0003170029,0.0004097163,0.0002574308,0.0002273462,0.02093982],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00614012,"threshold_uncertainty_score":0.02054071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01180060820518307,"score_gpt":0.2765922878187019,"score_spread":0.2647916796135188,"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."}}