{"id":"W7096647567","doi":"","title":"Statistics Statistique Canada Canada Culture, Tourism and the Centre for Education Statistics Understanding Culture Consumption","year":2015,"lang":"en","type":"article","venue":"","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tourism; Agency (philosophy); Service (business); Telephone number; Consumption (sociology); Official statistics; Product (mathematics); Summary statistics; Statistics education","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":[0.005138156,0.001491005,0.002741117,0.01071945,0.004318207,0.00882013,0.002199744,0.00129049,0.1572686],"category_scores_gemma":[0.04900355,0.001277342,0.001483497,0.02862644,0.001637808,0.00231114,0.002049739,0.004898614,0.04869523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07149475,"about_ca_system_score_gemma":0.2883072,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9818609,"about_ca_topic_score_gemma":0.9744973,"domain_scores_codex":[0.9845669,0.001386273,0.0009589928,0.001249266,0.01035581,0.00148278],"domain_scores_gemma":[0.9196596,0.006543491,0.00211153,0.003174912,0.06549654,0.003013882],"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":[0.00004252667,0.00001535828,0.003546022,0.0002258552,0.00003585506,0.0000211612,0.00008384421,0.0003361792,0.00003638307,0.00863988,0.9479166,0.03910027],"study_design_scores_gemma":[0.0000403258,0.00001840938,0.01862273,0.0007078539,0.00003879611,0.00004470731,0.0003218273,0.001259687,0.0001756151,0.002276655,0.9764223,0.00007117265],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002207144,0.00704453,0.008603653,0.01403376,0.003058394,0.0006894011,0.7996397,0.002606931,0.1621165],"genre_scores_gemma":[0.04309019,0.0252937,0.02562995,0.004203181,0.001274972,0.002501292,0.4586291,0.004337155,0.4350405],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1572686,"threshold_uncertainty_score":0.5261157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07632184855595969,"score_gpt":0.3264111399653098,"score_spread":0.2500892914093501,"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."}}