{"id":"W4210813657","doi":"10.2196/preprints.23954","title":"Fitbit-Based Interventions for Healthy Lifestyle Outcomes: Systematic Review and Meta-Analysis (Preprint)","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Behavioral Health and Interventions","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada; HEC Montréal; Université du Québec à Montréal","funders":"","keywords":"Meta-analysis; Psychological intervention; CINAHL; Systematic review; Medicine; MEDLINE; Randomized controlled trial; Activity tracker; Subgroup analysis; Preprint; Behavior change methods; Physical therapy; Gerontology; Physical activity; Computer science; Nursing","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":[0.01595393,0.002889124,0.01870722,0.00838797,0.0006754511,0.004361081,0.002184836,0.002532938,0.01164624],"category_scores_gemma":[0.0520809,0.001545914,0.03035096,0.009672431,0.0007229841,0.00314802,0.002074313,0.002154101,0.000729012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005440963,"about_ca_system_score_gemma":0.008508636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008696618,"about_ca_topic_score_gemma":0.01989413,"domain_scores_codex":[0.989221,0.004449293,0.003624253,0.0007482175,0.001612581,0.000344571],"domain_scores_gemma":[0.9802291,0.01246953,0.004757949,0.0004592048,0.00185885,0.0002252574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.001129176,0.00002236135,0.000852426,0.8497234,0.1319017,0.00005577198,0.00006354951,0.0001734467,0.0001159729,0.0001459067,0.001453524,0.01436272],"study_design_scores_gemma":[0.001921516,0.0003360688,0.003872217,0.2680099,0.7193504,0.0001082603,0.00008936353,0.0002506547,0.0002491473,0.0003524731,0.005414371,0.00004574204],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002676605,0.9904307,0.0009446478,0.0004366279,0.0003940323,0.00280642,0.001752362,0.00008095214,0.0004777008],"genre_scores_gemma":[0.05672961,0.9231778,0.005415131,0.001567136,0.0003407112,0.01015755,0.001812463,0.00004924778,0.0007502508],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01870722,"threshold_uncertainty_score":0.08437347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3635117286391605,"score_gpt":0.5166797983135147,"score_spread":0.1531680696743542,"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."}}