{"id":"W6976566204","doi":"10.6068/dp14ba89f9b0b47","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 earned 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":"Emotion and Mood Recognition","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Official statistics; Cultural heritage; Economic statistics; Population; Population statistics; Publication; Tourism; Descriptive statistics","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":[0.0024454,0.002557564,0.002746998,0.0108208,0.003422343,0.005783198,0.005744879,0.001531815,0.08630556],"category_scores_gemma":[0.02189152,0.001762749,0.002003357,0.05048753,0.0007939583,0.003010368,0.002386931,0.003414524,0.05398837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05998911,"about_ca_system_score_gemma":0.1670287,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9951761,"about_ca_topic_score_gemma":0.9934734,"domain_scores_codex":[0.9945132,0.0003099815,0.0005958184,0.0007192183,0.002673727,0.001187968],"domain_scores_gemma":[0.9528817,0.00172047,0.001458265,0.001305685,0.04062662,0.002007288],"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":[0.00002067285,0.000006078032,0.001046159,0.000215123,0.00001875561,0.000006351415,0.00002153214,0.0001068762,0.000008602845,0.0003626853,0.9968239,0.001363274],"study_design_scores_gemma":[0.0001249541,0.000009791934,0.02204197,0.0008398128,0.00006360286,0.00002260628,0.0005202361,0.0004881412,0.000158108,0.0006795657,0.9749692,0.00008192152],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005113771,0.00004747682,0.00002308624,0.0001351501,0.00002725025,0.00001347065,0.9988133,0.00005553758,0.000833727],"genre_scores_gemma":[0.0008257604,0.0002774179,0.0003685144,0.0001568345,0.00001772693,0.0001213046,0.9941432,0.0001165821,0.003972596],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08630556,"threshold_uncertainty_score":0.4352535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03233780569935537,"score_gpt":0.2719049830640515,"score_spread":0.2395671773646962,"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."}}