{"id":"W4412718129","doi":"10.1080/09669582.2025.2536284","title":"Loyalty program mobility beliefs and carbon offset","year":2025,"lang":"en","type":"article","venue":"Journal of Sustainable Tourism","topic":"Psychological Well-being and Life Satisfaction","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ted Rogers Centre for Heart Research","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Loyalty; Business; Carbon offset; Offset (computer science); Loyalty program; Marketing; Psychology; Advertising; Loyalty business model; Computer science; Climate change; Service quality","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001316689,0.0001299473,0.000151995,0.0003485205,0.0004647698,0.001113021,0.0002282136,0.0005243656,0.003830603],"category_scores_gemma":[0.005059053,0.0001003792,0.0002592146,0.0002875945,0.0005517438,0.0007059483,0.0006892636,0.001090091,0.0002063644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000514504,"about_ca_system_score_gemma":0.0003793954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002035268,"about_ca_topic_score_gemma":0.003930033,"domain_scores_codex":[0.9993599,0.0002629279,0.00002987502,0.00005268245,0.0001632787,0.0001312042],"domain_scores_gemma":[0.9952725,0.001775256,0.001627699,0.0002146668,0.0004024169,0.000707544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004345746,0.003467129,0.9299081,0.0001110679,0.0002226858,0.00009779174,0.005333055,0.0007399791,0.004476411,0.004072127,0.0004010046,0.05073611],"study_design_scores_gemma":[0.00001927692,0.0007467919,0.9850993,0.0000445915,0.00008114912,0.00006356226,0.00787012,0.002053264,0.001129829,0.001373365,0.001491443,0.00002737238],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997816,0.00001866461,0.0002147293,0.00008258924,0.000002305067,0.000007365214,0.000008390131,0.000002094594,0.001847913],"genre_scores_gemma":[0.9995914,0.00001214614,0.00008168515,0.00003143051,0.000002056333,0.000004856475,0.00001104294,8.114398e-7,0.0002646834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003830603,"threshold_uncertainty_score":0.0128147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007950478080587487,"score_gpt":0.3201707980068275,"score_spread":0.31222031992624,"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."}}