{"id":"W2031679395","doi":"10.1080/04419057.2009.9674589","title":"New Leisure and Leisure Customization","year":2009,"lang":"en","type":"article","venue":"World Leisure Journal","topic":"Digital Games and Media","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Casual; Personalization; Taste; Leisure studies; Leisure activity; Sociology of leisure; Product (mathematics); Sociocultural evolution; Globalization; Marketing; Unit (ring theory); Leisure time; Business; Sociology; Psychology; Social psychology; Political science; Tourism; Social science; Economics; Physical activity; Market economy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006877163,0.0001544219,0.0002671862,0.0001745425,0.0003320841,0.0005463912,0.0002146069,0.0001035454,0.0004605905],"category_scores_gemma":[0.000115228,0.0001348193,0.0001021592,0.0004647204,0.00008681983,0.0006612214,0.00001798085,0.0004136385,0.00004004337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008082556,"about_ca_system_score_gemma":0.0004060503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004133474,"about_ca_topic_score_gemma":0.001560722,"domain_scores_codex":[0.9984658,0.0001104416,0.0002714279,0.0001869726,0.0005378595,0.0004274594],"domain_scores_gemma":[0.9989455,0.0000591722,0.0001675851,0.0001102401,0.0001245401,0.0005929233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003148905,0.00004233891,0.03894715,0.00000348237,0.00001889247,0.00003769735,0.002465323,0.00003279943,0.00006721149,0.01108926,0.09672956,0.8505348],"study_design_scores_gemma":[0.0005323511,0.00006174449,0.0413101,0.00005710493,0.00002745308,0.00003918865,0.000463885,0.000008819942,0.00002027198,0.001165794,0.9561399,0.0001733361],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05761077,0.003253786,0.001780888,0.02931118,0.001996708,0.0003496271,0.000004423287,0.0001740763,0.9055185],"genre_scores_gemma":[0.7276174,0.0006182377,0.001379365,0.0003156718,0.003082737,8.091444e-7,0.000003322941,0.00001685114,0.2669656],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8594104,"threshold_uncertainty_score":0.5497772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01349703158062387,"score_gpt":0.28166661018039,"score_spread":0.2681695785997661,"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."}}