{"id":"W148119781","doi":"","title":"Unearthing Montreal's Municipal Water System: Amalgamating and Harmonizing Urban Water Services","year":2002,"lang":"en","type":"article","venue":"York University Digital Library (York University)","topic":"Water Governance and Infrastructure","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental planning; Environmental science; Hydrology (agriculture); Geography; Engineering; Geotechnical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00005883354,0.0002698922,0.0002825171,0.0002804812,0.001562044,0.0007961601,0.0007672305,0.0002220973,0.0003235447],"category_scores_gemma":[0.000003163832,0.0002407947,0.0001314705,0.0004244618,0.0003232139,0.006934126,0.0005918057,0.0002782538,0.0001670241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001457737,"about_ca_system_score_gemma":0.0000241208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002016162,"about_ca_topic_score_gemma":0.0002406279,"domain_scores_codex":[0.9981956,0.0001429997,0.0001542948,0.0004640026,0.0003219631,0.000721161],"domain_scores_gemma":[0.9992466,0.00004772348,0.00009458317,0.0002582417,0.00003129764,0.0003215766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006803389,0.0003718742,0.2808053,0.001100237,0.0007653767,0.004852347,0.5973006,0.0005057882,0.001048332,0.07350086,0.026504,0.01256489],"study_design_scores_gemma":[0.0009085491,0.00006095161,0.001232828,0.0002281228,0.00008106572,0.00001139943,0.1388664,0.000580791,0.0005322645,0.0001068709,0.8567746,0.0006161658],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7216961,0.00007469644,0.00001332139,0.0004592371,0.0001269237,0.0001666187,0.00009549859,0.0004398746,0.2769277],"genre_scores_gemma":[0.9456246,0.00007272635,0.0001652125,0.0001011278,0.0001670312,6.242588e-8,0.00007640177,0.00002415071,0.05376868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8302706,"threshold_uncertainty_score":0.9997378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01302811264552784,"score_gpt":0.1494210048087795,"score_spread":0.1363928921632517,"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."}}