{"id":"W3204546967","doi":"10.2196/22218","title":"Predicting Participant Compliance With Fitness Tracker Wearing and Ecological Momentary Assessment Protocols in Information Workers: Observational Study","year":2021,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Physical Activity and Health","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Microsoft (Canada)","funders":"Intelligence Advanced Research Projects Activity; NIH Office of the Director; Office of the Director of National Intelligence","keywords":"Observational study; Activity tracker; Wearable computer; Compliance (psychology); Wearable technology; Odds; Psychology; Applied psychology; Medicine; Logistic regression; Physical therapy; Computer science; Physical activity; Social psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007419273,0.0003746406,0.0004596445,0.0007175828,0.0007305016,0.000803237,0.0006951275,0.0009167626,0.0006602514],"category_scores_gemma":[0.01562354,0.0005199148,0.0007520388,0.000833743,0.0004856662,0.0007001771,0.0007859857,0.001032166,0.0002934095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004398616,"about_ca_system_score_gemma":0.0009089226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008814812,"about_ca_topic_score_gemma":0.01067405,"domain_scores_codex":[0.996732,0.001518087,0.0003892856,0.0004666416,0.0005722109,0.0003217585],"domain_scores_gemma":[0.9852592,0.004780773,0.005992437,0.001592807,0.001361297,0.001013524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000503388,0.0001957645,0.9981409,0.00001049947,0.00002469603,0.00001479312,0.000529503,0.00002641293,0.00007736572,0.000003522403,0.00002810074,0.0008980286],"study_design_scores_gemma":[0.0000072578,0.000499144,0.9982756,0.00001011336,0.00002017646,0.00005249311,0.000597525,0.000359662,0.00006840747,0.000009276769,0.00009559374,0.000004840148],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994755,0.00002800587,0.0002509046,0.00001279515,0.000001860609,0.0000345043,0.00008761937,0.000002655112,0.0001061411],"genre_scores_gemma":[0.9991459,0.0000323137,0.0004597512,0.00002067702,0.000004479065,0.00005815584,0.0001642458,0.000001749549,0.0001126442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008814812,"threshold_uncertainty_score":0.03923732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3976384666106442,"score_gpt":0.4958007690788851,"score_spread":0.09816230246824087,"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."}}