{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003706749,0.0002793366,0.0002727417,0.001624861,0.0002925282,0.001730624,0.0003375229,0.0007474024,0.004614467],"category_scores_gemma":[0.02519367,0.0002146686,0.001162677,0.0007901317,0.0004986155,0.00107549,0.0008076124,0.0009242878,0.0005015066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003295116,"about_ca_system_score_gemma":0.0004084993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001637637,"about_ca_topic_score_gemma":0.001391332,"domain_scores_codex":[0.9975534,0.001171002,0.0002281445,0.0001535932,0.0006798788,0.0002139658],"domain_scores_gemma":[0.9809834,0.01277149,0.003287809,0.0006123409,0.001150659,0.001194163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000114983,0.0002352772,0.986149,0.00004289646,0.0001154597,0.00006076715,0.001445546,0.0001055307,0.0001754782,0.0002766414,0.0001616051,0.01111691],"study_design_scores_gemma":[0.00001564062,0.0004476782,0.9924589,0.00008327504,0.00008805258,0.0003775042,0.00284511,0.002242212,0.0001242331,0.0004807726,0.0008177149,0.00001880113],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996154,0.0003823985,0.0003623288,0.0002889386,0.000009271322,0.00003298503,0.0001049188,0.000009623316,0.002655539],"genre_scores_gemma":[0.9993637,0.0001382999,0.0001606599,0.00003191603,0.000004799974,0.00002023383,0.00007032031,0.000001977827,0.0002081778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004614467,"threshold_uncertainty_score":0.01960343,"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."}}