{"id":"W6957666525","doi":"10.6068/dp14ba8b3d64262","title":"Trend 1994 - 2003. Statistics Canada. CANSIM: Culture and Leisure - Museums, Historic Sites, Archives and Other Heritage Institutions | Country: Canada | Table: Summary profile of heritage institutions and nature parks | Variable: Other capital expenses, Total heritage institutions | Units: , 1994-2003. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-049.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Economic statistics; Official statistics; Cultural heritage; Descriptive statistics; Population; Population statistics; Publication; Tourism","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":[0.002403458,0.002548274,0.002684008,0.01049975,0.003430937,0.005588947,0.00570873,0.001491075,0.09407084],"category_scores_gemma":[0.02021309,0.001789353,0.00196562,0.04930523,0.0007630228,0.00294578,0.00238673,0.003308187,0.05643351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06217291,"about_ca_system_score_gemma":0.1700837,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9956274,"about_ca_topic_score_gemma":0.9938486,"domain_scores_codex":[0.9946253,0.0003098332,0.0005635671,0.0006853034,0.00261168,0.001204265],"domain_scores_gemma":[0.9542315,0.001577719,0.001347241,0.001220676,0.03960817,0.002014635],"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":[0.00002100061,0.000006250005,0.001060988,0.0002102844,0.00001826567,0.000006428973,0.000022518,0.0001085334,0.0000089341,0.0003867515,0.9966345,0.001515517],"study_design_scores_gemma":[0.0001155338,0.000009977834,0.02329178,0.0008021179,0.00006134818,0.00002312607,0.0005348523,0.0004875739,0.000160283,0.0006577921,0.9737759,0.00007973895],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000572881,0.00005003237,0.00002598325,0.0001446586,0.0000283637,0.00001480593,0.9986071,0.00006268605,0.001009223],"genre_scores_gemma":[0.0009423023,0.0002989655,0.0004226528,0.0001714702,0.00001879732,0.0001322774,0.9927629,0.0001353627,0.005115302],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09407084,"threshold_uncertainty_score":0.4510981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02524465087757041,"score_gpt":0.2487848765619607,"score_spread":0.2235402256843903,"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."}}