{"id":"W4402429811","doi":"10.1177/10711813241264199","title":"Promoting Physical Activity With Augmented Reality Experiences","year":2024,"lang":"en","type":"article","venue":"Proceedings of the Human Factors and Ergonomics Society Annual Meeting","topic":"AI in Service Interactions","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton; Centre for Excellence in Mining Innovation; University of Toronto","funders":"Environmental Trust Fund, Government of New Brunswick","keywords":"Augmented reality; Psychology; Human–computer interaction; Computer science","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":[0.001774982,0.0005935834,0.0003003605,0.0007542209,0.0006595536,0.00242396,0.0007233222,0.0008259085,0.00855522],"category_scores_gemma":[0.003820398,0.0003162843,0.0006555823,0.0003682977,0.0006526744,0.001361694,0.003535248,0.0007055131,0.0009018235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003352255,"about_ca_system_score_gemma":0.0004758629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001034181,"about_ca_topic_score_gemma":0.002828445,"domain_scores_codex":[0.997692,0.001429455,0.00007950758,0.0001532601,0.00039314,0.0002525678],"domain_scores_gemma":[0.9982117,0.001113854,0.0001680084,0.0001766251,0.000112912,0.0002168036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001701092,0.007392318,0.03406001,0.003096027,0.0002541692,0.00207015,0.1423992,0.001769726,0.02780331,0.007801096,0.02478701,0.7468659],"study_design_scores_gemma":[0.001221014,0.01933079,0.2246617,0.003180331,0.0008977605,0.008371916,0.1326135,0.006277629,0.01836969,0.008705349,0.5757711,0.0005993014],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.915281,0.002490678,0.01511414,0.001548853,0.0002517497,0.000488952,0.0002872577,0.0005499583,0.0639874],"genre_scores_gemma":[0.9738448,0.001347618,0.01639251,0.0003562593,0.00007758289,0.0003225107,0.0001211646,0.00003032377,0.007507286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00855522,"threshold_uncertainty_score":0.02862012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02008645711091541,"score_gpt":0.270202163635035,"score_spread":0.2501157065241196,"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."}}