{"id":"W6939190033","doi":"10.6068/dp14ba8a265a845","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 revenues, All types of 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; 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":[0.002417011,0.002587985,0.002739808,0.01082817,0.003534756,0.005867705,0.005779778,0.001549989,0.09192409],"category_scores_gemma":[0.02146951,0.001787488,0.002007408,0.05097054,0.0007958588,0.003002702,0.002450278,0.003376805,0.05744949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06023628,"about_ca_system_score_gemma":0.1635595,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9952788,"about_ca_topic_score_gemma":0.9935961,"domain_scores_codex":[0.9945116,0.0003120341,0.0005961881,0.0007291349,0.002643101,0.001207971],"domain_scores_gemma":[0.9534425,0.001646698,0.001388792,0.001325934,0.04017434,0.00202181],"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":[0.00002020752,0.000005828542,0.0010127,0.0002054767,0.00001805029,0.000006144975,0.00002130793,0.0001006285,0.000008636005,0.0003581099,0.9968638,0.001379119],"study_design_scores_gemma":[0.0001176383,0.000009467756,0.02126908,0.0007873048,0.00006057945,0.00002227928,0.0005000096,0.0004632503,0.0001555682,0.0006565654,0.9758804,0.00007773306],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005035851,0.00004641199,0.00002298434,0.0001312691,0.00002727044,0.00001283614,0.9987738,0.00005944948,0.0008757113],"genre_scores_gemma":[0.0008038381,0.0002622151,0.000360433,0.0001521087,0.00001734617,0.0001158613,0.9941315,0.0001228081,0.00403388],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09192409,"threshold_uncertainty_score":0.4370468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02401777581845236,"score_gpt":0.2475053299973723,"score_spread":0.22348755417892,"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."}}