{"id":"W6976802011","doi":"10.6068/dp14ba7c6a67853","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: Environmental assessments and audits, Capital expenditures, Establishments with 1,000 or more 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; Descriptive statistics; Socioeconomic status; Natural resource; Capital (architecture)","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":[0.001914918,0.002419698,0.002364939,0.008463196,0.002837264,0.004459376,0.004549769,0.00143516,0.09327498],"category_scores_gemma":[0.01658593,0.00173641,0.001997467,0.04031727,0.0006220686,0.002508738,0.002111125,0.002761085,0.05052242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05520487,"about_ca_system_score_gemma":0.1366327,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9945585,"about_ca_topic_score_gemma":0.9927233,"domain_scores_codex":[0.995715,0.0002454599,0.0004624517,0.0005002146,0.002112951,0.0009639977],"domain_scores_gemma":[0.9673975,0.001062964,0.001061186,0.0008032807,0.02816239,0.001512687],"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":[0.00002124529,0.000006443122,0.0009910198,0.0002333751,0.00001809695,0.000005879008,0.00001644673,0.0001201757,0.000008442494,0.0003722404,0.996666,0.001540734],"study_design_scores_gemma":[0.0001431246,0.00001294177,0.02370993,0.0008072056,0.00006657151,0.00002597294,0.0004080041,0.0005634266,0.0001975907,0.000648406,0.9733362,0.00008068731],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000056388,0.00005055528,0.00002300981,0.0001272837,0.00002693501,0.00001336872,0.9986082,0.00005587549,0.001038472],"genre_scores_gemma":[0.0009979794,0.0003430878,0.0003907743,0.0001694285,0.0000194168,0.0001146728,0.9927568,0.0001158555,0.005092025],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09327498,"threshold_uncertainty_score":0.4005412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01642353204118074,"score_gpt":0.2352604355628413,"score_spread":0.2188369035216605,"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."}}