{"id":"W4393867581","doi":"10.20944/preprints202403.1871.v1","title":"A mHealth intervention to promote physical activity for healthy aging: Every Walk You Take citizen science project","year":2024,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lawson Health Research Institute; Western University","funders":"","keywords":"mHealth; Citizen science; Intervention (counseling); Physical activity; Psychology; Gerontology; Physical therapy; Medicine; Psychological intervention; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003725478,0.0006049871,0.0008366741,0.000778399,0.0003738165,0.00009528164,0.001173974,0.0003316467,0.0001563995],"category_scores_gemma":[0.0003499953,0.0006200169,0.0005605423,0.0008012548,0.0002486458,0.0001472259,0.003761318,0.001738442,0.001589246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00303219,"about_ca_system_score_gemma":0.003746665,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01175058,"about_ca_topic_score_gemma":0.0003512699,"domain_scores_codex":[0.9937413,0.0003393472,0.0007007475,0.003114348,0.000719687,0.001384544],"domain_scores_gemma":[0.996587,0.0001666511,0.0004608291,0.001925485,0.0002538886,0.0006061722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.009372797,0.01561936,0.09980644,0.0497654,0.0009589811,0.0001443021,0.0983525,0.0001144243,0.02678528,0.01832137,0.003474728,0.6772844],"study_design_scores_gemma":[0.005143701,0.003355028,0.8254395,0.005701639,0.0005848539,0.00007825398,0.001784939,0.003018714,0.03232416,0.03234836,0.08708056,0.003140342],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9773718,0.0001520855,0.0009502159,0.004492378,0.005377579,0.007828368,0.0002667949,0.0005369688,0.003023815],"genre_scores_gemma":[0.9901428,0.00002643931,0.0003102518,0.0008713872,0.0009299118,0.00356578,0.00004005601,0.0001110583,0.004002362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.725633,"threshold_uncertainty_score":0.9996251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3076908427884666,"score_gpt":0.5407539830966241,"score_spread":0.2330631403081576,"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."}}