{"id":"W6920240852","doi":"10.6068/dp14ba8a001a991","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: Total operating revenues, Community museums | 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; Official statistics; Cultural heritage; Economic statistics; Population; Publication; Population statistics; Tourism; Socioeconomic status","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":[0.002464915,0.002614691,0.002762439,0.01088336,0.00348154,0.005742403,0.005825039,0.001526852,0.09160776],"category_scores_gemma":[0.02101891,0.001871345,0.002029944,0.05105042,0.0007927982,0.003025884,0.002430441,0.003360419,0.05674057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06368559,"about_ca_system_score_gemma":0.1746438,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9956673,"about_ca_topic_score_gemma":0.9938439,"domain_scores_codex":[0.994387,0.0003189865,0.0006009704,0.000719755,0.002727912,0.001245343],"domain_scores_gemma":[0.9517112,0.001689009,0.001432261,0.001305927,0.04177025,0.00209134],"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":[0.00002123741,0.000006264692,0.001075197,0.0002155814,0.00001869248,0.000006512386,0.00002232176,0.000111235,0.000008977018,0.0003812854,0.996648,0.001484562],"study_design_scores_gemma":[0.0001181242,0.00001020228,0.02307712,0.0008321948,0.00006232666,0.00002337471,0.0005314498,0.0004987008,0.0001632086,0.0006654905,0.9739361,0.00008168329],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005500139,0.00004856101,0.0000250882,0.0001399472,0.00002765256,0.00001448322,0.9986688,0.00006297136,0.000957444],"genre_scores_gemma":[0.0009066319,0.0002911077,0.0004114131,0.0001677419,0.00001823829,0.0001299828,0.9931116,0.0001346341,0.004828709],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09160776,"threshold_uncertainty_score":0.4620734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02985348004826221,"score_gpt":0.2563124367048228,"score_spread":0.2264589566565606,"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."}}