{"id":"W647271861","doi":"","title":"Effective Infrastructure Management Solutions Using the Analytic Hierarchy Process and Municipal DataWorks (MDW)","year":2012,"lang":"en","type":"article","venue":"2012 CONFERENCE AND EXHIBITION OF THE TRANSPORTATION ASSOCIATION OF CANADA - TRANSPORTATION: INNOVATIONS AND OPPORTUNITIES","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Investment (military); Government (linguistics); Finance; Position (finance); Asset management; Local government; Service (business); Asset (computer security); Environmental planning; Public administration; Geography; Politics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01792852,0.0009488006,0.001141091,0.008115411,0.002596935,0.009144512,0.002538222,0.0009687477,0.009237454],"category_scores_gemma":[0.05271933,0.001247283,0.001332339,0.01473092,0.0009915266,0.006480399,0.005582693,0.001640437,0.004402633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005955621,"about_ca_system_score_gemma":0.02009933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08393171,"about_ca_topic_score_gemma":0.09063581,"domain_scores_codex":[0.9854168,0.005408433,0.001892009,0.001085423,0.005586059,0.0006112155],"domain_scores_gemma":[0.973796,0.009910874,0.003202754,0.005074754,0.007224252,0.0007913273],"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":[0.0001003976,0.0002792258,0.009734628,0.001715872,0.0003648197,0.0002819283,0.004790277,0.02765848,0.001494624,0.08138237,0.1385283,0.7336691],"study_design_scores_gemma":[0.0002291347,0.000149839,0.0152733,0.002444959,0.0002113823,0.000289416,0.008411039,0.2175848,0.003731766,0.1750226,0.5763571,0.0002945657],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009774975,0.00135488,0.8806587,0.007809803,0.0002637468,0.00305064,0.01096878,0.02057342,0.06554502],"genre_scores_gemma":[0.08202568,0.001309529,0.9010238,0.0004191881,0.00008583193,0.001984294,0.00805874,0.0007406884,0.004352259],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.08393171,"threshold_uncertainty_score":0.1668863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01855486441905655,"score_gpt":0.2237883871645036,"score_spread":0.2052335227454471,"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."}}