{"id":"W6920257645","doi":"10.6068/dp14baa3e25c180","title":"Trend 1994 - 2003. Statistics Canada. CANSIM: Culture and Leisure - Museums, Historic Sites, Archives and Other Heritage Institutions | Country: Canada | Province: Yukon | Table: Provincial profile of heritage institutions | Variable: Admission earned revenues | Units: $CAD x 1,000, 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; Revenue; Population; Population statistics; Socioeconomic status; Publication","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":[0.002213023,0.002499382,0.002762551,0.009602457,0.003340807,0.005651569,0.005640186,0.001602657,0.09546857],"category_scores_gemma":[0.02066192,0.001842691,0.002011633,0.0478017,0.0007496382,0.002824038,0.002397929,0.003222973,0.06128454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0530898,"about_ca_system_score_gemma":0.1439063,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9941788,"about_ca_topic_score_gemma":0.9923249,"domain_scores_codex":[0.9951468,0.0002838122,0.0005850893,0.0006858422,0.002159804,0.001138619],"domain_scores_gemma":[0.9595465,0.001534421,0.00126283,0.001233649,0.03459379,0.001828798],"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":[0.00002169343,0.000005951129,0.001033301,0.0002187278,0.00001807832,0.000006580405,0.00002113229,0.0001047047,0.000008829166,0.0003207391,0.9969808,0.001259364],"study_design_scores_gemma":[0.0001478239,0.00001002048,0.02271037,0.0008301937,0.00006507996,0.00002407782,0.0005296587,0.0004966027,0.00017201,0.0006630885,0.9742688,0.00008237956],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004460341,0.00003657403,0.00001910028,0.0001041516,0.00002330234,0.0000117546,0.9989754,0.00004998886,0.0007351746],"genre_scores_gemma":[0.0007246825,0.0002056224,0.0003031411,0.0001247121,0.00001465514,0.0001145502,0.9948801,0.0001057754,0.003526822],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09546857,"threshold_uncertainty_score":0.3851953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03087984623767273,"score_gpt":0.2564911970159827,"score_spread":0.2256113507783099,"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."}}