{"id":"W6987639194","doi":"","title":"Towards geographic information systems (GIS) as an integrated decision support tool for municipal infrastructure asset management","year":2004,"lang":"en","type":"article","venue":"NPARC","topic":"Underground infrastructure and sustainability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Council Canada; Ministère de la Défense Nationale","keywords":"Geospatial analysis; Geographic information system; Decision support system; Global Positioning System; GIS and public health; Information system; Asset (computer security); Implementation; Asset management; Digital mapping","routes":{"ca_aff":false,"ca_fund":true,"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":[0.01250637,0.0008429122,0.0008438734,0.003883436,0.000974832,0.01268071,0.002464843,0.003618937,0.002727126],"category_scores_gemma":[0.008363502,0.0008391556,0.0008873597,0.005728467,0.00546942,0.01287863,0.0052029,0.004122551,0.00174827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002658847,"about_ca_system_score_gemma":0.005039551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006015792,"about_ca_topic_score_gemma":0.005884456,"domain_scores_codex":[0.9943796,0.002837247,0.0004256095,0.0004855371,0.001681694,0.0001903085],"domain_scores_gemma":[0.9929793,0.003037211,0.0005592463,0.001061169,0.001822805,0.000540302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005653418,0.0001997445,0.004159767,0.001074823,0.000118743,0.0003086804,0.004037461,0.02260154,0.003375137,0.608449,0.01751631,0.3381022],"study_design_scores_gemma":[0.000031204,0.0002161721,0.001732265,0.001274679,0.00007659265,0.0003755056,0.002794988,0.05887082,0.00258125,0.3606429,0.5712902,0.0001135006],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01161421,0.009071902,0.9313465,0.01711887,0.0003539885,0.0002467087,0.0002321049,0.001527282,0.02848838],"genre_scores_gemma":[0.06966969,0.008651312,0.9145877,0.001130219,0.0002885029,0.0001996626,0.0004982353,0.0001642812,0.004810371],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01268071,"threshold_uncertainty_score":0.06614077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004539089963047395,"score_gpt":0.2261714949985586,"score_spread":0.2216324050355112,"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."}}