{"id":"W2396081891","doi":"10.1061/9780784479827.157","title":"Multi-Tiered Database Schema for Integrated Municipal Asset Management","year":2016,"lang":"en","type":"article","venue":"Construction Research Congress 2016","topic":"Water Systems and Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Asset management; Computer science; Database schema; Database; Schema (genetic algorithms); Data management; USable; Database design; World Wide Web; Information retrieval; Business; Finance","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":[0.003798053,0.0005093691,0.0006574431,0.002074976,0.0006463758,0.005884044,0.002312362,0.001306807,0.006082089],"category_scores_gemma":[0.0046142,0.0005325147,0.001107604,0.004043956,0.0004453065,0.003118984,0.001962674,0.001260549,0.003295312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001323203,"about_ca_system_score_gemma":0.003089367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005013992,"about_ca_topic_score_gemma":0.004557669,"domain_scores_codex":[0.9967494,0.0007193725,0.001090133,0.0005451221,0.000743018,0.0001529884],"domain_scores_gemma":[0.9966485,0.0004328657,0.0002781207,0.001034569,0.001413476,0.0001925047],"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":[0.0004769063,0.0004401955,0.0118877,0.001624838,0.0004293176,0.00156252,0.002189257,0.04546899,0.02707954,0.4358352,0.1505257,0.3224798],"study_design_scores_gemma":[0.0001076837,0.0001152054,0.002809114,0.0004553558,0.0001331656,0.001714477,0.0006324989,0.08602769,0.01445273,0.04383076,0.849593,0.0001283617],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007968574,0.001023661,0.9488481,0.000794959,0.0002950016,0.001358368,0.01913065,0.007882665,0.01269793],"genre_scores_gemma":[0.0680405,0.001230528,0.8727832,0.0006272655,0.0000709927,0.001106434,0.04925872,0.0007379015,0.006144545],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006082089,"threshold_uncertainty_score":0.02034658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06450676854821166,"score_gpt":0.3286843624273331,"score_spread":0.2641775938791214,"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."}}