{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01881426,0.0006798166,0.0008644555,0.001792257,0.007625013,0.003239871,0.001851718,0.001833383,0.003395549],"category_scores_gemma":[0.02851613,0.000770823,0.0007619478,0.001487171,0.005957202,0.004430523,0.005716459,0.002264839,0.0003808469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004085422,"about_ca_system_score_gemma":0.004008694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007006718,"about_ca_topic_score_gemma":0.01131287,"domain_scores_codex":[0.9873065,0.009217753,0.0004202701,0.0007277264,0.001056684,0.001271025],"domain_scores_gemma":[0.9672016,0.02671263,0.001425867,0.0006970189,0.002429248,0.001533605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003113464,0.0001141452,0.003613012,0.0001640547,0.000005215138,0.001163615,0.9896232,0.00003453727,0.000555832,0.0003620084,0.0002932168,0.004039911],"study_design_scores_gemma":[0.000007640238,0.0001627419,0.002187171,0.0002029347,0.000009121419,0.0005213158,0.9918074,0.0002576827,0.0004765371,0.0002519875,0.004093623,0.00002192257],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938474,0.0002664032,0.00236989,0.0006786013,0.00002003296,0.0004291475,0.00009702065,0.00001340099,0.002278082],"genre_scores_gemma":[0.99406,0.000499207,0.002569922,0.0004362757,0.00001391978,0.0005877467,0.00005282806,0.00002109143,0.001759063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01881426,"threshold_uncertainty_score":0.09950048,"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."}}