{"id":"W6976985589","doi":"10.6068/dp14ba865131845","title":"Trend 1994 - 2003. Statistics Canada. CANSIM: Environment - Environmental Protection | Country: Canada | Table: Summary profile of heritage institutions and nature parks | Variable: Provincial government capital revenues, Other type of institutions | 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; Government (linguistics); Summary statistics; Capital (architecture); Statistical analysis; 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":[0.002603884,0.002297567,0.002610561,0.01006716,0.00344556,0.00558527,0.005130977,0.001529147,0.1260469],"category_scores_gemma":[0.02138573,0.001935433,0.002013216,0.04785125,0.0007205249,0.002838791,0.002392818,0.003047544,0.07542432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06420487,"about_ca_system_score_gemma":0.178099,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9947384,"about_ca_topic_score_gemma":0.9919468,"domain_scores_codex":[0.9943444,0.0003603658,0.000580271,0.0006620299,0.002809937,0.001243048],"domain_scores_gemma":[0.9542893,0.001626014,0.001306258,0.001380349,0.03935448,0.00204355],"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":[0.00001879665,0.000005371133,0.0006885789,0.0001779333,0.00001507449,0.000005480664,0.00001811166,0.00009676402,0.000007897819,0.0003901409,0.9970084,0.001567573],"study_design_scores_gemma":[0.0001031608,0.000008758782,0.01689296,0.0006068979,0.00004534799,0.00001966759,0.0003521067,0.0003957792,0.0001390823,0.0006737267,0.9806936,0.00006893608],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004709134,0.00004478462,0.0000330074,0.000158867,0.00003331937,0.00002037287,0.9979055,0.00009116974,0.001665922],"genre_scores_gemma":[0.0009440003,0.0003055471,0.0006038846,0.0002142351,0.00002107097,0.0001771892,0.9898307,0.0002166511,0.007686674],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1260469,"threshold_uncertainty_score":0.4658411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01915344495928096,"score_gpt":0.2254312653888265,"score_spread":0.2062778204295455,"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."}}