{"id":"W6958002180","doi":"10.6068/dp14ba8118f3b5","title":"Trend 1994 - 2003. Statistics Canada. CANSIM: Environment - Environmental Protection | Country: Canada | Table: Summary profile of heritage institutions and nature parks | Variable: Membership earned revenues, Nature parks | Units: , 1994-2003. 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; Census; Official statistics; Summary statistics; Statistical analysis; Natural heritage; Natural resource","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":[0.002634516,0.002330237,0.002615801,0.009898409,0.003442582,0.005681781,0.005179538,0.001495324,0.1289093],"category_scores_gemma":[0.02177331,0.001932379,0.001995485,0.04850803,0.0007467055,0.002838951,0.002375432,0.00315102,0.07747195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06478123,"about_ca_system_score_gemma":0.1735941,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9949335,"about_ca_topic_score_gemma":0.9923003,"domain_scores_codex":[0.9942899,0.0003731117,0.000587052,0.0006819389,0.002820356,0.001247608],"domain_scores_gemma":[0.9525468,0.001743275,0.001356563,0.001455932,0.04076784,0.002129529],"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":[0.00001878014,0.000005360205,0.0007242124,0.0001769797,0.00001507625,0.000005408163,0.00001782745,0.00009537103,0.000007699432,0.0003749481,0.9969859,0.001572332],"study_design_scores_gemma":[0.0000995566,0.000008925417,0.01763597,0.0006231409,0.00004577313,0.00001966151,0.0003754515,0.0003952879,0.0001333056,0.0006725434,0.9799202,0.00007015478],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004773919,0.00004552483,0.0000339634,0.0001575327,0.00003320917,0.00001982719,0.9979582,0.00009021132,0.001613835],"genre_scores_gemma":[0.0009557726,0.0003158863,0.0006057482,0.0002170647,0.00002082934,0.0001765828,0.9899241,0.0002161529,0.007567948],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1289093,"threshold_uncertainty_score":0.470023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01822581344348891,"score_gpt":0.2276168406486075,"score_spread":0.2093910272051186,"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."}}