{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002128784,0.0004830973,0.0007564002,0.0001150543,0.0001392311,0.00005721297,0.0004860121,0.0006762315,0.00127858],"category_scores_gemma":[0.0001524983,0.0004553996,2.242338e-7,0.0004932404,0.0005198097,0.0001635565,0.00024068,0.0009315745,0.000002463264],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008139056,"about_ca_system_score_gemma":0.007773765,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9944717,"about_ca_topic_score_gemma":0.9957862,"domain_scores_codex":[0.9974519,0.0003530035,0.0005845788,0.0007877442,0.0004164171,0.0004063424],"domain_scores_gemma":[0.9977863,0.0001693378,0.0005055045,0.001095798,0.00009867246,0.0003443899],"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":[0.00009023678,0.000128002,0.00004093731,0.0007787585,0.0004186862,0.0001805585,0.00003264294,0.000002007527,0.0000149184,0.004879819,0.9932967,0.000136675],"study_design_scores_gemma":[0.0008842914,0.0001014004,0.00001892419,0.0001143495,0.0004491417,0.0002524857,0.0003528137,0.00008361823,4.06395e-8,4.189845e-7,0.9972686,0.0004739261],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000002019767,0.0149815,0.000007395717,0.000002340306,0.0008446095,0.0006023871,0.9654549,0.00003700826,0.0180678],"genre_scores_gemma":[0.00005365653,0.002367407,0.0005284053,0.0001696586,0.0001466175,0.00002059408,0.9869475,0.00009643321,0.009669725],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02149256,"threshold_uncertainty_score":0.9997898,"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."}}