{"id":"W4312114113","doi":"10.2196/38471","title":"Evaluating User Preferences, Comprehension, and Trust in Apps for Environmental Health Hazards: Qualitative Case Study","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Thematic analysis; Comprehension; Context (archaeology); Perception; Psychology; Applied psychology; Psychological intervention; Internet privacy; Hazard; Qualitative research; Environmental health; Medical education; Medicine; Computer science; Geography","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.007135976,0.0001539161,0.000258361,0.0008117751,0.001411251,0.0001009195,0.0005153458,0.00004038889,0.00004890481],"category_scores_gemma":[0.00009711945,0.0001474371,0.0000272047,0.000846869,0.0002268655,0.0008895519,0.001354297,0.001061322,0.00001018506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008501817,"about_ca_system_score_gemma":0.0001832581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000213756,"about_ca_topic_score_gemma":0.0001440957,"domain_scores_codex":[0.9945924,0.002971336,0.0005204195,0.0005044062,0.00088182,0.0005296684],"domain_scores_gemma":[0.9983644,0.0008435225,0.0002114596,0.0003616134,0.0001604523,0.00005851431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001998208,0.00205292,0.00284749,0.00008731296,0.00007622815,0.0001536341,0.8590801,0.0001012397,0.0005616944,0.02863647,0.002110161,0.1040929],"study_design_scores_gemma":[0.003295068,0.0110315,0.01050213,0.0000452837,0.000002152476,0.00048211,0.8681214,0.09646329,0.0002485892,0.007934522,0.001556299,0.0003176647],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903722,0.00007945369,0.005850698,0.0005635292,0.0001062754,0.002821296,0.00004361735,0.00005028334,0.0001126136],"genre_scores_gemma":[0.9930292,0.000003992421,0.003978448,0.00008208327,0.000009649411,0.002760159,0.00001774985,0.0000109837,0.0001077446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1037752,"threshold_uncertainty_score":0.9998888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2443809018295867,"score_gpt":0.5351612568227456,"score_spread":0.2907803549931589,"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."}}