{"id":"W4416262429","doi":"10.2196/68006","title":"Engagement of African American Women With Fitness Trackers and Mobile Technology for Shared Physical Activity Goals: Mixed Methods Study","year":2025,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute","keywords":"Activity tracker; African american; Physical activity; Interpersonal communication; mHealth; Social support; Mobile technology; Interpersonal relationship; Ethnically diverse","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001041458,0.000191876,0.0005506849,0.0005616056,0.000298148,0.00002989674,0.0003246034,0.00006727555,0.000001123907],"category_scores_gemma":[0.00006298114,0.0001616322,0.00001738527,0.001370177,0.0003735103,0.0002053804,0.0001974768,0.0003896067,2.410208e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002105569,"about_ca_system_score_gemma":0.000264073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007089739,"about_ca_topic_score_gemma":0.00003089716,"domain_scores_codex":[0.9981885,0.0003423853,0.0002752619,0.0005918295,0.0001266886,0.0004753529],"domain_scores_gemma":[0.9985365,0.0003707762,0.0003897518,0.0004362881,0.0001760788,0.00009061092],"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":[0.0004778042,0.001315836,0.002727985,0.0005641066,0.00008892633,0.000001703658,0.01282471,0.000003394117,0.0009149483,0.01100276,0.000141326,0.9699365],"study_design_scores_gemma":[0.008599101,0.0414575,0.7807377,0.0002402545,0.0001713511,0.00002556851,0.1154786,0.01628836,0.01421919,0.01246982,0.009236202,0.001076322],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9288131,0.00003803689,0.06723015,0.001936407,0.00009453318,0.00168589,0.00001111541,0.0001464933,0.00004428561],"genre_scores_gemma":[0.9715319,0.00001367006,0.0263085,0.0001349014,0.00001405261,0.001959862,0.000001330413,0.000009515919,0.00002623215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9688601,"threshold_uncertainty_score":0.6591169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04740680305178319,"score_gpt":0.4472730350892701,"score_spread":0.3998662320374869,"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."}}