{"id":"W6976901078","doi":"10.6068/dp14ba8bd57a975","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: Total, all activities, Operating 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; Descriptive statistics; Socioeconomic status; Natural resource; 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":[0.001838663,0.002351688,0.002376249,0.008301524,0.002823673,0.004392374,0.004570908,0.001367414,0.09538039],"category_scores_gemma":[0.01542462,0.001674357,0.002039031,0.03953147,0.0005850454,0.002517253,0.002045132,0.002812696,0.05147885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05370261,"about_ca_system_score_gemma":0.1340898,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9945557,"about_ca_topic_score_gemma":0.9931298,"domain_scores_codex":[0.9960244,0.0002238893,0.0004273751,0.0004686196,0.001951968,0.0009037731],"domain_scores_gemma":[0.9690593,0.0009630783,0.0009889089,0.0007591468,0.02676916,0.001460418],"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":[0.000021997,0.000006508109,0.001069485,0.0002526269,0.00001936331,0.000006208387,0.00001784248,0.0001187564,0.000009427396,0.0003852419,0.9964143,0.001678197],"study_design_scores_gemma":[0.0001351633,0.00001282974,0.02549038,0.0008059253,0.00006765682,0.00002688773,0.0004201432,0.0005250018,0.0001929927,0.0006393276,0.9716038,0.0000801046],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005975909,0.00005526691,0.00002492289,0.0001249959,0.00002817465,0.00001412373,0.9985649,0.00005545873,0.001072452],"genre_scores_gemma":[0.001020413,0.0003693686,0.0004052102,0.0001697052,0.00001946731,0.0001164798,0.9925315,0.0001157558,0.005252095],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09538039,"threshold_uncertainty_score":0.3896415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01770269859972526,"score_gpt":0.2276258326175904,"score_spread":0.2099231340178652,"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."}}