{"id":"W6958110775","doi":"10.6068/dp14ba7ec020169","title":"Trend 1996 - 2004. Statistics Canada. CANSIM: Travel and Tourism - Tourism Indicators | Country: Canada | Table: Canadian travel survey, activity participation, by province of destination | Variable: Golfing | Units: # Person-trips x 1,000, 1996-2004. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-201.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tourism; Census; Economic statistics; Official statistics; Gross domestic product; Descriptive statistics; Statistical analysis; Product (mathematics); Consumption (sociology)","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":[0.002328244,0.002596312,0.002734597,0.009467402,0.003519209,0.005263101,0.005094813,0.001424853,0.0868245],"category_scores_gemma":[0.01609051,0.001947026,0.002174524,0.04424633,0.0006716013,0.002653168,0.002246632,0.003183605,0.04989151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07129391,"about_ca_system_score_gemma":0.1655597,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9968477,"about_ca_topic_score_gemma":0.9951002,"domain_scores_codex":[0.9953023,0.0002983907,0.0004890586,0.0005149986,0.002265375,0.001129818],"domain_scores_gemma":[0.9657078,0.0009626498,0.0009277696,0.0008371531,0.02994079,0.001623904],"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":[0.00003192505,0.000008641019,0.001239296,0.000297866,0.00002474156,0.000009105696,0.00002784191,0.0001259149,0.00001171742,0.0004297446,0.9955125,0.002280567],"study_design_scores_gemma":[0.0001379144,0.0000152349,0.03117515,0.0008790049,0.00008751648,0.00003017816,0.0006246364,0.0005177745,0.0001958024,0.000538857,0.965704,0.00009391476],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000776634,0.0000871098,0.00003495917,0.0001644447,0.00004751709,0.00002346967,0.9980192,0.00007360145,0.001472079],"genre_scores_gemma":[0.00142015,0.0005379248,0.0005966662,0.0002075215,0.00002449191,0.0001774234,0.988456,0.0001553735,0.008424371],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0868245,"threshold_uncertainty_score":0.5172759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03088185620473764,"score_gpt":0.2492022161190615,"score_spread":0.2183203599143238,"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."}}