{"id":"W6957701020","doi":"10.6068/dp14ba8e8eb3377","title":"Most Recent Data (2006). 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: Pollution abatement and control processes (end-of-pipe), Capital expenditures, Establishments with 50 to 99 employees (x 1,000,000) | Units: $CAD, 2006. 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; Official statistics; Census; 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":[0.001969931,0.002363202,0.00255547,0.008178633,0.003224398,0.004428756,0.00442968,0.001539825,0.1029628],"category_scores_gemma":[0.01780405,0.001595953,0.001956712,0.04348014,0.000650345,0.002240417,0.002038824,0.002948591,0.05550313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0565214,"about_ca_system_score_gemma":0.1401665,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9947832,"about_ca_topic_score_gemma":0.9933863,"domain_scores_codex":[0.9956053,0.0002363557,0.0004736052,0.0005046321,0.002193994,0.0009861295],"domain_scores_gemma":[0.9620662,0.00143105,0.001071371,0.0008674372,0.0329452,0.00161881],"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":[0.00001755844,0.00000690038,0.000839225,0.0002320526,0.00001393813,0.000005245629,0.000015376,0.0001059649,0.000007437944,0.0002571635,0.9972972,0.001202048],"study_design_scores_gemma":[0.000163213,0.00001219841,0.02594676,0.0007884396,0.00007016758,0.00002284284,0.0004320715,0.0004075419,0.0001694819,0.0005197053,0.9713863,0.00008126993],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004662804,0.00004588965,0.00001461948,0.0001088619,0.00002042927,0.00001054627,0.9988899,0.00003770196,0.0008253799],"genre_scores_gemma":[0.0008605798,0.0003172471,0.0003264986,0.0001688126,0.00001753034,0.0001016363,0.9937176,0.00008065108,0.00440946],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1029628,"threshold_uncertainty_score":0.4100934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01500429796063524,"score_gpt":0.2282389913366065,"score_spread":0.2132346933759713,"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."}}