{"id":"W7043751653","doi":"","title":"“We are in this together” – Social Presence and Groupness predict satisfaction and intention to return in Zwift cycling groups","year":2023,"lang":"en","type":"article","venue":"","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Structural equation modeling; Cycling; Perception; Sample (material); Variance (accounting); Promotion (chess); Computer-assisted web interviewing; Social influence; Social cognitive theory","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007523843,0.000204564,0.0002270728,0.0004961284,0.0004352877,0.000951261,0.0002684102,0.0006207228,0.005454965],"category_scores_gemma":[0.003489237,0.0001917658,0.0005694521,0.0002773622,0.0005134724,0.0005963197,0.00079813,0.0006180123,0.0004963597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002135363,"about_ca_system_score_gemma":0.0002675331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005929644,"about_ca_topic_score_gemma":0.007924168,"domain_scores_codex":[0.9996541,0.0001196038,0.00003527684,0.00006601879,0.00006653601,0.00005858297],"domain_scores_gemma":[0.9985049,0.0003172618,0.0005665523,0.00009057443,0.0001399997,0.0003807406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007721041,0.00022156,0.9897785,0.00002839193,0.00009579236,0.00003330861,0.001835709,0.00008955762,0.0004430729,0.0001043977,0.0002489555,0.00704363],"study_design_scores_gemma":[0.000006134724,0.0001459859,0.9966701,0.00002045013,0.0000289282,0.00004062943,0.002171334,0.0004251329,0.00006074779,0.00009759209,0.0003274712,0.00000560887],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991418,0.00004412383,0.00008225858,0.0001036429,0.000006366816,0.000008259553,0.00002397624,0.000002124063,0.0005874726],"genre_scores_gemma":[0.9993223,0.00004797128,0.0001249586,0.00004448982,0.00000543639,0.00001046833,0.0000636928,0.000001258609,0.0003792565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005929644,"threshold_uncertainty_score":0.01824868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03332252805379651,"score_gpt":0.2949600321500809,"score_spread":0.2616375040962844,"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."}}