{"id":"W6957631021","doi":"10.6068/dp14ba83d63a384","title":"Trend 1996 - 2000. 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 capital revenues, Archival institutions | Units: , 1996-2000. 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; Amusement; Census; Socioeconomic status; Descriptive statistics; Tourism; Official statistics; Economic 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002093272,0.002539232,0.002511395,0.009633507,0.003398535,0.005336564,0.005181962,0.001457733,0.0884537],"category_scores_gemma":[0.01690172,0.001747575,0.001784806,0.04552888,0.0006960429,0.002799055,0.002295584,0.003064907,0.05584068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05607341,"about_ca_system_score_gemma":0.1546408,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9954662,"about_ca_topic_score_gemma":0.993575,"domain_scores_codex":[0.9953696,0.0002526091,0.000452187,0.0005884416,0.002229495,0.0011077],"domain_scores_gemma":[0.9656307,0.001105049,0.001044143,0.0009307653,0.0295998,0.001689445],"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":[0.00002122063,0.000006164633,0.001038427,0.0001977619,0.0000177375,0.000007235871,0.00002182507,0.0001154697,0.00001017425,0.0003980576,0.9966928,0.001473022],"study_design_scores_gemma":[0.0001180201,0.00001077463,0.02232869,0.0007038654,0.00005950838,0.00002496299,0.0005347886,0.0004774827,0.0001881927,0.0006029762,0.9748766,0.00007401637],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006159454,0.00004439828,0.00002434752,0.0001301821,0.00002673095,0.00001365626,0.9986053,0.00005931471,0.001034344],"genre_scores_gemma":[0.0008672468,0.0002633397,0.0003442257,0.000152717,0.00001705423,0.0001072074,0.9927278,0.0001191013,0.005401292],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9115463,"threshold_uncertainty_score":0.406843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02143259326466396,"score_gpt":0.2426031178870338,"score_spread":0.2211705246223698,"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."}}