{"id":"W6957783714","doi":"10.6068/dp14ba8fada6e33","title":"Trend 1997 - 2009. Statistics Canada. CANSIM: Culture and Leisure - Leisure Activities and Spending | Country: Canada | Table: Survey of household spending (SHS), household spending on recreation | Variable: Other expenses for operation of recreational vehicles (for example, parking, mooring and boat storage), Median expenditure per household reporting | Units: , 1997-2009. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-048.","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; Descriptive statistics; Census; Population; The arts; Socioeconomic status; Demographic statistics; Statistics education; Official statistics; Population 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":[0.001927603,0.002616226,0.002800265,0.007777364,0.002939717,0.004204743,0.005135982,0.001335812,0.07098223],"category_scores_gemma":[0.01428044,0.001827859,0.002377724,0.04147632,0.0006278842,0.002279518,0.002250572,0.003317331,0.03940892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04241158,"about_ca_system_score_gemma":0.108861,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9943375,"about_ca_topic_score_gemma":0.9924412,"domain_scores_codex":[0.995828,0.0002610188,0.0004555926,0.0005271331,0.001880427,0.001047846],"domain_scores_gemma":[0.9733101,0.0008918634,0.0009633884,0.0006943899,0.02286466,0.001275721],"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":[0.00003226648,0.000009752982,0.001922005,0.0003249604,0.0000312798,0.000008513731,0.00002760262,0.0001196249,0.00001022843,0.0003201607,0.9957345,0.001459014],"study_design_scores_gemma":[0.0002445206,0.00002256101,0.05831831,0.001247822,0.0001160252,0.00003800783,0.0008459834,0.0006013452,0.0002334116,0.0005947371,0.9376265,0.0001106609],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007027984,0.00004079197,0.00001860853,0.00009200084,0.00002224044,0.00001316529,0.9991038,0.00003357239,0.0006055716],"genre_scores_gemma":[0.0008513834,0.0002236503,0.0002486054,0.0001135645,0.0000144925,0.0001128864,0.9953009,0.00006369632,0.003070889],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07098223,"threshold_uncertainty_score":0.307719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09767690682297192,"score_gpt":0.2858903678009234,"score_spread":0.1882134609779515,"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."}}