{"id":"W3211246157","doi":"10.1371/journal.pone.0259486","title":"A randomized community trial to advance digital epidemiological and mHealth citizen scientist compliance: A smart platform study","year":2021,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; University of Saskatchewan; University of Regina","funders":"Saskatchewan Health Research Foundation","keywords":"mHealth; Cohort; Confidence interval; Medicine; Demography; Cohort study; Citizen science; Epidemiology; Gerontology; Environmental health; Psychological intervention; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.009457703,0.001822612,0.002724501,0.0008941963,0.001447404,0.00182771,0.001200465,0.003955995,0.009405532],"category_scores_gemma":[0.01395843,0.001017366,0.003008336,0.0006733005,0.002120301,0.003333043,0.001928578,0.002848805,0.001663025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001114783,"about_ca_system_score_gemma":0.004042788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001282262,"about_ca_topic_score_gemma":0.00158443,"domain_scores_codex":[0.9923962,0.004792154,0.0005789066,0.001104915,0.0005108251,0.0006170277],"domain_scores_gemma":[0.9920918,0.002482463,0.001836424,0.001375159,0.0006556509,0.001558506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.9316452,0.03566286,0.004245352,0.001058149,0.001486643,0.0001032297,0.0003154707,0.0003414195,0.0007896019,0.0006780257,0.001727586,0.02194642],"study_design_scores_gemma":[0.8597826,0.1298841,0.005746765,0.0001667595,0.0009141837,0.00003709594,0.0001189143,0.0005924809,0.000271771,0.000792883,0.001658803,0.00003359412],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.944191,0.001354437,0.002407868,0.001686732,0.002094047,0.04312021,0.001208011,0.0002811949,0.003656564],"genre_scores_gemma":[0.8989512,0.0006326041,0.009368827,0.002693306,0.001265106,0.0830083,0.0008487611,0.00003321535,0.003198752],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009457703,"threshold_uncertainty_score":0.05001771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3145995078058885,"score_gpt":0.4726585132620096,"score_spread":0.1580590054561212,"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."}}