{"id":"W6957835487","doi":"10.6068/dp14baa33f26379","title":"Trend 2006 - 2008. Statistics Canada. CANSIM: Environment - Environmental Protection | Country: Canada | Province: Saskatchewan | Table: Capital and operating expenditures on environmental protection, by type of activity | Variable: Environmental assessments and audits (x 1,000,000), Capital expenditures | Units: $CAD, 2006-2008. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-084.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Formal Methods in Verification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic statistics; Census; Summary statistics; Official statistics; Capital expenditure; Capital (architecture); Natural capital; Audit; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005712566,0.0009849016,0.0008377724,0.0001147422,0.0003902676,0.0002925854,0.001583853,0.0005396651,0.001314591],"category_scores_gemma":[0.00002323407,0.0009867457,5.68325e-7,0.00007498448,0.0004894179,0.0009303123,0.001159562,0.001029561,0.00001755919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000971335,"about_ca_system_score_gemma":0.001998902,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9875973,"about_ca_topic_score_gemma":0.8449683,"domain_scores_codex":[0.9940228,0.0007035098,0.0008504745,0.00187655,0.001752703,0.0007939629],"domain_scores_gemma":[0.996032,0.0001598424,0.00109122,0.002203465,0.000005543281,0.0005079099],"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":[0.00009612142,0.0003181874,0.00002771224,0.0001715896,0.000206932,0.0000879302,0.00001781949,0.0001051979,0.0009997537,0.00003632241,0.9968206,0.001111893],"study_design_scores_gemma":[0.0008163189,0.0005071362,0.00005878333,0.00002264795,0.0001772995,0.0002046981,0.0005452358,0.007168577,0.00002619412,4.155817e-7,0.9894928,0.000979897],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000692933,0.001596481,0.001215306,0.000002402407,0.0006341441,0.001930383,0.9943007,0.00005323757,0.0001980312],"genre_scores_gemma":[0.002515179,0.0005297291,0.002275048,0.0000732577,0.0001620762,0.000111337,0.9925703,0.0001741419,0.001588887],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1426291,"threshold_uncertainty_score":0.9995983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02000248458934446,"score_gpt":0.2440818722159187,"score_spread":0.2240793876265742,"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."}}