{"id":"W6957673185","doi":"10.6068/dp14ba7c8188b97","title":"Trend 2006 - 2010. Statistics Canada. CANSIM: Environment - Environmental Protection | 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: 075-001-084.","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; Capital (architecture); Descriptive statistics; Socioeconomic status; Statistical analysis","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":[0.002031717,0.002363238,0.002402794,0.008857086,0.003015886,0.004616716,0.004699628,0.001441924,0.1032895],"category_scores_gemma":[0.0179152,0.00171239,0.00200149,0.04024171,0.0006143024,0.002605603,0.002140434,0.002814938,0.05373615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05847644,"about_ca_system_score_gemma":0.144532,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9946944,"about_ca_topic_score_gemma":0.9928162,"domain_scores_codex":[0.9954883,0.0002457019,0.0004719144,0.0005331852,0.002247584,0.001013211],"domain_scores_gemma":[0.9638421,0.001161238,0.001179363,0.0009134209,0.03122141,0.001682515],"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":[0.0000214611,0.000006224397,0.0009981651,0.0002401725,0.00001772168,0.00000595024,0.00001727891,0.000115631,0.000008955356,0.0003889955,0.9965479,0.001631712],"study_design_scores_gemma":[0.0001311452,0.00001321451,0.02514545,0.000815947,0.00006116128,0.00002587201,0.0004068848,0.0005108175,0.0001878478,0.0006289807,0.9719923,0.00008042857],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005811301,0.00005198016,0.00002445237,0.0001288915,0.00002872745,0.00001552052,0.9984653,0.00005784909,0.001169267],"genre_scores_gemma":[0.001050969,0.0003521742,0.0004212785,0.0001773714,0.00002098695,0.0001343411,0.991647,0.0001240466,0.006071836],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1032895,"threshold_uncertainty_score":0.4242783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01777514203791767,"score_gpt":0.2344972184722982,"score_spread":0.2167220764343806,"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."}}