{"id":"W4232065827","doi":"10.2196/preprints.8953","title":"The SMART Study, a Mobile Health and Citizen Science Methodological Platform for Active Living Surveillance, Integrated Knowledge Translation, and Policy Interventions: Longitudinal Study (Preprint)","year":2017,"lang":"en","type":"preprint","venue":"","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citizen science; Psychological intervention; Knowledge translation; Living lab; Repurposing; Data collection; Active living; Psychology; Physical activity; Medical education; Medicine; Computer science; Engineering; Knowledge management; World Wide Web; Nursing; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01674538,0.0004298351,0.0005463981,0.0009612985,0.002705343,0.002485499,0.0008118105,0.000723338,0.0106097],"category_scores_gemma":[0.02324935,0.0008713711,0.0009337621,0.001874349,0.001150264,0.00211789,0.003115396,0.00149386,0.003585489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002735926,"about_ca_system_score_gemma":0.01692152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04610043,"about_ca_topic_score_gemma":0.09727228,"domain_scores_codex":[0.9958305,0.002531038,0.0003923574,0.0003993309,0.0004933464,0.0003534972],"domain_scores_gemma":[0.985188,0.005001868,0.00159453,0.002747492,0.004269545,0.001198506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004534002,0.007196881,0.486263,0.003180231,0.0009008473,0.0007591065,0.05461093,0.0008796788,0.003486052,0.01094454,0.2134789,0.2137658],"study_design_scores_gemma":[0.003822763,0.008757571,0.6633872,0.002738086,0.0008446546,0.0003162973,0.06170662,0.001584947,0.002925024,0.005354003,0.2481886,0.0003742804],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"protocol","genre_scores_codex":[0.8236302,0.0009720781,0.02503477,0.007957504,0.0006412219,0.05874769,0.06416583,0.0005991905,0.01825162],"genre_scores_gemma":[0.5952016,0.001401782,0.1021866,0.008806277,0.0004291045,0.2441507,0.02846983,0.0003835283,0.01897056],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.04610043,"threshold_uncertainty_score":0.0916642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4418290193919588,"score_gpt":0.5797380277314582,"score_spread":0.1379090083394994,"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."}}