{"id":"W6907584133","doi":"10.25318/3410023501-eng","title":"Municipal owners whose wastewater system needs to be upgraded to meet effluent quality standards of the Federal Wastewater Systems Effluent Regulations, by urban and rural, and population size, Infrastructure Canada","year":2019,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Effluent; Wastewater; Population; Quality (philosophy); Rural area; Urban area","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":[0.0008164097,0.001094819,0.001091004,0.003759766,0.00106277,0.001631979,0.00217341,0.0007305691,0.03231825],"category_scores_gemma":[0.006495451,0.0007204614,0.001190847,0.01339943,0.0002983118,0.001162822,0.00132215,0.001534041,0.01146117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009895476,"about_ca_system_score_gemma":0.01909335,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8694792,"about_ca_topic_score_gemma":0.8972543,"domain_scores_codex":[0.9984179,0.0001038553,0.0002537411,0.0002816581,0.0005828852,0.0003600851],"domain_scores_gemma":[0.9946897,0.0004724885,0.0007730307,0.0003171668,0.003341192,0.000406392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005508263,0.00001372994,0.005579175,0.0008248766,0.00005225628,0.00002064523,0.00003442331,0.0003022841,0.00003104678,0.0007925146,0.989484,0.002809925],"study_design_scores_gemma":[0.0002305647,0.00001841727,0.08242043,0.001219532,0.00009406483,0.00006279019,0.0003885768,0.0005253818,0.0003577562,0.0005392007,0.9140933,0.00005006534],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002906651,0.00006071645,0.00003407934,0.00005113374,0.00001838642,0.00001323716,0.9982824,0.00002261468,0.001226833],"genre_scores_gemma":[0.003586615,0.000309712,0.0002500751,0.00008265727,0.0000111243,0.0001281436,0.9916993,0.00002840664,0.003904051],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1305208,"threshold_uncertainty_score":0.2625788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006045400746717448,"score_gpt":0.2582156528829319,"score_spread":0.2521702521362144,"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."}}