{"id":"W6957638412","doi":"10.6068/dp14ba8566c8f67","title":"Trend 1994 - 2003. Statistics Canada. CANSIM: Business, Consumer and Property Services - Arts, Entertainment and Recreation | Country: Canada | Table: Summary profile of heritage institutions and nature parks | Variable: Other governments unearned revenues, History museums | Units: , 1994-2003. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-010.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Recreation; Entertainment; Census; Amusement; Socioeconomic status; Tourism; Descriptive statistics; Official 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":[0.0005630963,0.000888078,0.001108271,0.00010474,0.0001876183,0.0001670976,0.0009579539,0.0006721721,0.001716963],"category_scores_gemma":[0.0001977132,0.000764194,9.953865e-8,0.0007267951,0.0006271587,0.0005000536,0.0006669218,0.0008831575,0.000008122982],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001040591,"about_ca_system_score_gemma":0.02224809,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9996871,"about_ca_topic_score_gemma":0.9992304,"domain_scores_codex":[0.99522,0.0004687875,0.0008999315,0.001388437,0.001350037,0.000672797],"domain_scores_gemma":[0.9957914,0.0001752396,0.001105066,0.002139722,0.0002383761,0.0005502341],"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":[0.0002707733,0.0001403769,0.0001302959,0.00229623,0.0005747603,0.0002894835,0.00000769099,0.000002815831,0.0000176557,0.0003073893,0.9958679,0.00009464748],"study_design_scores_gemma":[0.001386405,0.00005404985,0.00001725028,0.0003159828,0.0008138905,0.0001364673,0.0002180238,0.0009742752,4.423235e-8,5.866282e-8,0.9952167,0.0008668709],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[7.159374e-7,0.01994561,0.000001393785,0.000001996411,0.0006531215,0.001396098,0.973268,0.000056306,0.004676798],"genre_scores_gemma":[0.000005069186,0.00428936,0.0004950273,0.0003303514,0.0001059766,0.00005704205,0.9867224,0.0003303383,0.007664448],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0212075,"threshold_uncertainty_score":0.9994809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02112200493222145,"score_gpt":0.2304830983061533,"score_spread":0.2093610933739319,"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."}}