{"id":"W6901667672","doi":"10.6068/dp14ba8cca84396","title":"Trend 2006 - 2010. Statistics Canada. CANSIM: Environment - Pollution and Waste | Country: Canada | Table: Capital and operating expenditures on environmental protection, by type of activity and establishment size | Variable: Reclamation and decommissioning, Capital expenditures, Establishments with 100 to 499 employees (x 1,000,000) | Units: $CAD, 2006-2010. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-087.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic statistics; Summary statistics; Census; Official statistics; Pollution; Natural resource; Capital (architecture); Descriptive statistics; Production (economics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001813903,0.002409608,0.002384111,0.008279827,0.002820791,0.004348177,0.004585276,0.00140867,0.09043232],"category_scores_gemma":[0.01570885,0.001700496,0.002009739,0.03974706,0.0006046713,0.002426712,0.002056549,0.00280087,0.04941745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05230688,"about_ca_system_score_gemma":0.1305729,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9943909,"about_ca_topic_score_gemma":0.9929239,"domain_scores_codex":[0.9960418,0.0002236251,0.0004267718,0.0004895792,0.001923136,0.0008950561],"domain_scores_gemma":[0.9697026,0.0009958397,0.001007644,0.000785813,0.0260744,0.001433734],"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":[0.00002123413,0.000006422125,0.001030875,0.0002338518,0.00001883464,0.000006008677,0.00001671723,0.0001180984,0.000008682997,0.000355654,0.9966692,0.001514319],"study_design_scores_gemma":[0.0001495348,0.00001260918,0.02407646,0.0007811128,0.00006721284,0.00002576422,0.0003912568,0.0005422876,0.0001921986,0.0006296441,0.9730535,0.00007845891],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000550779,0.0000499032,0.00002198682,0.0001157968,0.00002581028,0.00001260964,0.998715,0.00005245225,0.0009512815],"genre_scores_gemma":[0.0009067182,0.0003190403,0.0003618443,0.0001529975,0.0000180212,0.0001055812,0.9935473,0.000103951,0.004484589],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9095677,"threshold_uncertainty_score":0.3795148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01580852782900489,"score_gpt":0.2284684494418809,"score_spread":0.212659921612876,"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."}}