{"id":"W2306178728","doi":"","title":"Evolution of Non-worker Adults’ Weekday Leisure Time Use Patterns with Focus on Information and Communication Technology in 1998, 2005, and 2010: A Canadian Perspective","year":2016,"lang":"en","type":"article","venue":"Transportation Research Board 95th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Information and Communications Technology; TRIPS architecture; Perspective (graphical); Duration (music); Travel behavior; Econometric model; Leisure time; Demographic economics; Marketing; Business; Economics; Physical activity; Political science; Engineering; Computer science; Econometrics","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":[0.0007908624,0.0004377584,0.0004372046,0.00281234,0.002132228,0.001996248,0.00134366,0.0004558692,0.003006862],"category_scores_gemma":[0.001976067,0.0002696226,0.0007800667,0.00660665,0.0005560913,0.0006587919,0.001048804,0.0007775946,0.0003422642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0311831,"about_ca_system_score_gemma":0.02621865,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9979875,"about_ca_topic_score_gemma":0.9987714,"domain_scores_codex":[0.9991168,0.00004364975,0.00003601574,0.0001550757,0.0003212127,0.0003271803],"domain_scores_gemma":[0.9972887,0.0001227009,0.0003265455,0.00007547683,0.001604081,0.0005824546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001962305,0.00006505453,0.95384,0.0001222436,0.00009743757,0.0001431086,0.009469917,0.0003138031,0.0005481624,0.0009584167,0.005029975,0.02921557],"study_design_scores_gemma":[0.000001558843,0.000008779156,0.9949156,0.00001994006,0.00001047,0.00001687147,0.00253431,0.0002012663,0.00004085061,0.00001462404,0.002224101,0.00001166159],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9737923,0.001871432,0.0002030906,0.0008102051,0.00001572154,0.0000418059,0.01582303,0.00003062186,0.007411831],"genre_scores_gemma":[0.9900956,0.0009714709,0.0002785611,0.00009195408,0.000005367279,0.00001626653,0.005630566,0.0000098124,0.002900494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0311831,"threshold_uncertainty_score":0.2262503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02120179110684835,"score_gpt":0.3281959641547222,"score_spread":0.3069941730478739,"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."}}