{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.0004400209,0.001713009,0.00193781,0.0003388496,0.0008241913,0.0004423103,0.001752402,0.001347146,0.001608752],"category_scores_gemma":[0.0004260518,0.001663913,6.719956e-7,0.001845526,0.002503811,0.0009800646,0.001158041,0.002499755,0.00001629239],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006651377,"about_ca_system_score_gemma":0.04381774,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9982889,"about_ca_topic_score_gemma":0.9991228,"domain_scores_codex":[0.9928548,0.0006524606,0.001427694,0.002261056,0.001428762,0.00137524],"domain_scores_gemma":[0.9937603,0.0003392643,0.001052971,0.00331607,0.0002290032,0.001302342],"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":[0.0001776026,0.0003155936,0.0001144198,0.001196517,0.0008464011,0.001066909,0.00005356181,0.00003056813,0.00006335368,0.01841017,0.9776947,0.00003013462],"study_design_scores_gemma":[0.001847233,0.000134,0.00001309426,0.0002297528,0.0009654242,0.001055632,0.001166149,0.0004896909,1.016354e-7,4.454712e-7,0.9922576,0.00184087],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000005438128,0.03636484,0.0000142958,0.000002412297,0.001089082,0.001840016,0.9430847,0.000205923,0.01739336],"genre_scores_gemma":[0.0001127137,0.001903646,0.001618731,0.0002499705,0.0003660702,0.0001108255,0.9866391,0.000525301,0.00847369],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04355443,"threshold_uncertainty_score":0.9999493,"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."}}