{"id":"W6957947954","doi":"10.6068/dp14ba81ef14a79","title":"Trend 1996 - 2000. Statistics Canada. CANSIM: Environment - Environmental Protection | Country: Canada | Table: Summary profile of heritage institutions and nature parks | Variable: Other capital revenues, Archival institutions | Units: , 1996-2000. 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; Capital (architecture); Natural resource; Publication; Descriptive statistics; 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":[0.0005880591,0.001148174,0.001184361,0.0001967497,0.0004135343,0.0001601492,0.001808605,0.0008065549,0.003448414],"category_scores_gemma":[0.0001022763,0.001188596,3.94415e-7,0.0003572457,0.001213492,0.0005017829,0.001007893,0.002150238,0.0001213564],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001678569,"about_ca_system_score_gemma":0.02940262,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9995729,"about_ca_topic_score_gemma":0.9986835,"domain_scores_codex":[0.993547,0.0006919752,0.001175094,0.001757923,0.001761981,0.001066072],"domain_scores_gemma":[0.9944802,0.0002528093,0.001027069,0.00342026,0.00002398514,0.0007956688],"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":[0.0001758194,0.0003153992,0.00002121385,0.000526912,0.0006004589,0.0005625672,0.000007391852,0.0001372113,0.00005399599,0.0009764584,0.9965034,0.0001191527],"study_design_scores_gemma":[0.001100936,0.0001134273,0.00001564023,0.0001069231,0.000737724,0.0004124159,0.0001771043,0.0008090494,1.363641e-7,4.505591e-7,0.9953194,0.001206801],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[9.258721e-7,0.005334061,0.00002084009,0.000002868744,0.0007092604,0.002070154,0.9859903,0.0000923837,0.005779164],"genre_scores_gemma":[0.00009994554,0.0008074159,0.0005531826,0.0001309409,0.0003285535,0.0001365404,0.994011,0.0004559136,0.003476508],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02772405,"threshold_uncertainty_score":0.9990564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01941448234620501,"score_gpt":0.225843193559019,"score_spread":0.206428711212814,"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."}}