{"id":"W6907908738","doi":"10.25318/3410022601-eng","title":"Inventory distribution of publicly owned wastewater assets by physical condition rating, Infrastructure Canada, inactive","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":"Distribution (mathematics); Wastewater; Key (lock); Sewage treatment","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":[0.0007948557,0.001721446,0.001298791,0.006132849,0.0009997326,0.002608935,0.002658587,0.0008388055,0.04092178],"category_scores_gemma":[0.006802543,0.0008251502,0.001249982,0.02076614,0.0004776407,0.001207584,0.001377829,0.001712688,0.01962626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01234232,"about_ca_system_score_gemma":0.02935182,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9458667,"about_ca_topic_score_gemma":0.9485648,"domain_scores_codex":[0.9985132,0.00006238721,0.0001484614,0.0002593141,0.0006535334,0.0003632601],"domain_scores_gemma":[0.992797,0.0003893453,0.0005712336,0.0003346835,0.005463531,0.0004441733],"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":[0.00004248764,0.00001246044,0.004663241,0.0003228421,0.00003958146,0.00001714532,0.00002353046,0.00033953,0.00003178077,0.0004868211,0.991854,0.002166596],"study_design_scores_gemma":[0.0002058653,0.00001802944,0.08297309,0.0008172643,0.00007103871,0.00008166218,0.0004818444,0.001118152,0.0004482881,0.0006791042,0.9130316,0.00007397241],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002107645,0.00003820386,0.00002155509,0.00003555308,0.00001239801,0.000007352489,0.9989545,0.00003868074,0.0006809733],"genre_scores_gemma":[0.001786297,0.0001447226,0.0001268977,0.00003701781,0.000006436463,0.000040567,0.9950246,0.00002692911,0.002806488],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0541333,"threshold_uncertainty_score":0.136897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004322603184506528,"score_gpt":0.2522233948567793,"score_spread":0.2479007916722728,"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."}}