{"id":"W4406862811","doi":"10.2196/62778","title":"Playful Antisedentary Interactions for Online Meeting Scenarios: A Research Through Design Approach","year":2025,"lang":"en","type":"article","venue":"JMIR Serious Games","topic":"Educational Games and Gamification","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Preprint; Psychology; Human–computer interaction; Computer science; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0005875003,0.000154002,0.0001978992,0.0002491628,0.0003014577,0.00008785824,0.0003265162,0.000114247,0.0001601067],"category_scores_gemma":[0.0001372048,0.0001511956,0.00009914944,0.0005470967,0.0001194937,0.0001465375,0.00005783275,0.0003464387,0.000062843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001271218,"about_ca_system_score_gemma":0.000156114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003501175,"about_ca_topic_score_gemma":0.00007599203,"domain_scores_codex":[0.9982303,0.0002822322,0.00035006,0.000519375,0.0001904155,0.0004275563],"domain_scores_gemma":[0.9983409,0.0007659891,0.00009689895,0.0004658046,0.0002794929,0.00005092192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009447749,0.00451513,0.003316135,0.0003026083,0.0005495548,0.000006378957,0.02859794,0.0005175014,0.004220836,0.05314509,0.7625844,0.1412997],"study_design_scores_gemma":[0.00136823,0.0002790149,0.05997647,0.000251058,0.00005803097,0.00003455503,0.03244269,0.002137232,0.0004693103,0.007086648,0.8955463,0.0003505341],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.716903,0.007386844,0.1051866,0.03411585,0.006795946,0.009706363,0.0002812644,0.000599672,0.1190245],"genre_scores_gemma":[0.8450771,0.0001224662,0.08293055,0.001553034,0.0009030028,0.004055835,0.0005783825,0.0000674949,0.06471215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1409491,"threshold_uncertainty_score":0.6165578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1374965131676436,"score_gpt":0.4755592305603222,"score_spread":0.3380627173926787,"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."}}