{"id":"W6945090765","doi":"10.25318/3410023901-eng","title":"Inventory of publicly owned solid waste assets by year of completed construction, urban and rural, and population size, 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":"Municipal solid waste; Population; Dispose pattern; Rural population; Urban waste","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":[0.0007184716,0.00147351,0.001275426,0.00596385,0.001155352,0.001994328,0.002492544,0.0006301678,0.03091376],"category_scores_gemma":[0.005736635,0.0008582,0.001190783,0.01989226,0.0004370683,0.001191873,0.001258779,0.001596328,0.01030527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0163421,"about_ca_system_score_gemma":0.04028308,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9670691,"about_ca_topic_score_gemma":0.9696749,"domain_scores_codex":[0.9986577,0.00006164332,0.0001591406,0.0001984048,0.0006033627,0.0003196649],"domain_scores_gemma":[0.9925885,0.0003630561,0.00061793,0.0002288303,0.0057527,0.0004490011],"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":[0.00005891123,0.00001998599,0.01056562,0.0007550985,0.00007644115,0.00002599619,0.00004955073,0.0006252409,0.00003919124,0.001047822,0.9831766,0.003559678],"study_design_scores_gemma":[0.0001826646,0.00002403399,0.1437628,0.001163899,0.0001166655,0.00009004262,0.0007217737,0.001077426,0.0004693996,0.0006830508,0.8516322,0.00007610748],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004666604,0.00009444544,0.00003711989,0.0000521836,0.0000143012,0.0000146897,0.998152,0.00003511573,0.001133515],"genre_scores_gemma":[0.0045193,0.0004615149,0.0002824086,0.00006416883,0.0000103808,0.00009824223,0.9902647,0.00003058104,0.004268883],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03293091,"threshold_uncertainty_score":0.1185707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003937256458696105,"score_gpt":0.2338768982564364,"score_spread":0.2299396417977403,"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."}}