{"id":"W4416004737","doi":"10.1080/23293691.2025.2574423","title":"Technology Acceptance Model and Differences Between Reproductive Health App Users and Nonusers","year":2025,"lang":"en","type":"article","venue":"Women s Reproductive Health","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Children's Hospital; University of Calgary","funders":"","keywords":"Reproductive health; mHealth; Technology acceptance model; Population; Affect (linguistics)","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"],"consensus_categories":[],"category_scores_codex":[0.005394496,0.0003829795,0.001157456,0.001490666,0.000856207,0.0001333272,0.0007764421,0.0002703711,0.00002113428],"category_scores_gemma":[0.002243763,0.0003216384,0.00005264791,0.00271223,0.001311678,0.0004525992,0.0006121245,0.0007870213,0.0000175625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004768174,"about_ca_system_score_gemma":0.0007600745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001222245,"about_ca_topic_score_gemma":0.00005952915,"domain_scores_codex":[0.9937681,0.0003991712,0.001150739,0.003085893,0.00065079,0.0009453067],"domain_scores_gemma":[0.9961368,0.0002463067,0.0007431472,0.002164339,0.0003951033,0.0003142966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001068308,0.0001358782,0.7217029,0.0000614926,0.00007281168,0.000002276573,0.007847784,0.0000195903,0.00008964441,0.01537821,0.005175455,0.2494071],"study_design_scores_gemma":[0.0007752149,0.0004808574,0.8048298,0.00006846681,0.00001172377,0.00001907928,0.02238279,0.0001622128,0.000154694,0.1641327,0.006604702,0.0003778115],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8859934,0.002731686,0.002977529,0.1063629,0.0002915699,0.0009393166,0.00005529722,0.0004165968,0.0002316795],"genre_scores_gemma":[0.9890299,0.0008674921,0.004405605,0.001469118,0.00008494236,0.000159679,0.000003587978,0.00002242983,0.003957225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2490293,"threshold_uncertainty_score":0.9999236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09117417989122388,"score_gpt":0.4053860862147408,"score_spread":0.3142119063235169,"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."}}