{"id":"W3034002882","doi":"10.2196/17914","title":"Using Internet of Things to Reduce Office Workers’ Sedentary Behavior: Intervention Development Applying the Behavior Change Wheel and Human-Centered Design Approach","year":2020,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Physical Activity and Health","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; University of Nottingham","keywords":"Psychological intervention; Behavior change methods; Applied psychology; Behavior change; Activity tracker; Wearable computer; mHealth; Psychosocial; Psychology; Medicine; Computer science; Nursing; Social psychology; Embedded system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01361583,0.0006361997,0.0006214153,0.001330407,0.0007067234,0.001237954,0.001095298,0.0006380624,0.001752251],"category_scores_gemma":[0.00693582,0.0004037032,0.001266811,0.0006315115,0.001056395,0.0006297943,0.001976259,0.0008974723,0.0002299358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001561042,"about_ca_system_score_gemma":0.007820094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001727824,"about_ca_topic_score_gemma":0.003328718,"domain_scores_codex":[0.9919235,0.005995359,0.0003515485,0.0004205703,0.0009684867,0.0003406092],"domain_scores_gemma":[0.9964432,0.00226373,0.0003482584,0.0002699824,0.0004325372,0.0002423293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009478098,0.01262556,0.008782777,0.01160339,0.0004995232,0.0001931949,0.009602603,0.006646735,0.01296488,0.01663116,0.003096634,0.9164058],"study_design_scores_gemma":[0.027313,0.1285679,0.1557477,0.03430332,0.007384017,0.00125525,0.04355049,0.07149272,0.08386543,0.0891009,0.3567455,0.0006737542],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.334508,0.003699901,0.5508995,0.003724848,0.0005358643,0.08356756,0.0006528639,0.0009579197,0.02145356],"genre_scores_gemma":[0.2671211,0.002389594,0.6787296,0.0006142793,0.00003368816,0.04933442,0.0001619246,0.000048657,0.001566748],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01361583,"threshold_uncertainty_score":0.07200825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3689983624999649,"score_gpt":0.4405935386286129,"score_spread":0.07159517612864802,"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."}}