{"id":"W4411075654","doi":"10.1007/978-3-031-94150-4_39","title":"Fitness-Based Recommender Systems for Reducing Sedentary Behaviour","year":2025,"lang":"en","type":"book-chapter","venue":"Communications in computer and information science","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Recommender system; Computer science; Information retrieval","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":[0.0004335266,0.0006198708,0.0006535421,0.0005292738,0.0002436539,0.0006938124,0.000796714,0.0007236166,0.008763264],"category_scores_gemma":[0.001472856,0.0002054703,0.000503965,0.0005857995,0.00007349168,0.0007261964,0.0002885088,0.0007703637,0.002600716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000204128,"about_ca_system_score_gemma":0.0002277445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00558762,"about_ca_topic_score_gemma":0.01363268,"domain_scores_codex":[0.9998646,0.00002889799,0.000008079118,0.00004228318,0.00004569164,0.00001051153],"domain_scores_gemma":[0.9995845,0.0002703796,0.00002126219,0.00002130439,0.00008392543,0.00001874334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002388876,0.0005458785,0.005815834,0.0004647487,0.000256311,0.00007967735,0.0001273417,0.008914267,0.005280463,0.001889393,0.0353012,0.9410859],"study_design_scores_gemma":[0.0005885988,0.003412514,0.1497316,0.001435679,0.002493547,0.001537085,0.0008269207,0.601228,0.01463646,0.01767081,0.2060664,0.0003723944],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2895258,0.1043315,0.4907987,0.007236178,0.004315685,0.0006290549,0.005356205,0.006124642,0.0916822],"genre_scores_gemma":[0.6315477,0.0331149,0.2190943,0.001718449,0.001591453,0.000371046,0.004726793,0.0003129202,0.1075224],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008763264,"threshold_uncertainty_score":0.02931601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1066517670639841,"score_gpt":0.4477566020445922,"score_spread":0.3411048349806081,"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."}}