{"id":"W4402460232","doi":"10.2196/58608","title":"A Reflective Thematic Analysis Into the Perceptions of Pregnant Radiographers Regarding the Usefulness of the PregiDose Mobile App to Enhance Fetal Dosimetry and Well-Being: Qualitative Exploration","year":2024,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Thematic analysis; Tracking (education); Context (archaeology); Medicine; Mobile apps; Medical education; Pregnancy; Qualitative research; Perception; Obstetrics; Medical physics; Psychology; Computer science; World Wide Web; Pedagogy","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":[0.02515916,0.00075423,0.0009955044,0.002691645,0.006418988,0.004459054,0.002359186,0.001995384,0.003122342],"category_scores_gemma":[0.03091082,0.0007326182,0.0008950159,0.002531468,0.009470497,0.005454014,0.006133422,0.003075127,0.0004642956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006921987,"about_ca_system_score_gemma":0.007304869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005404106,"about_ca_topic_score_gemma":0.005765041,"domain_scores_codex":[0.9878234,0.008921699,0.0004614542,0.0007258289,0.0008511415,0.001216496],"domain_scores_gemma":[0.9718151,0.02308929,0.001201209,0.0005482197,0.002258192,0.001087972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002044248,0.00003315586,0.001350328,0.0002512377,0.000002982229,0.0003125615,0.9928086,0.00003122813,0.0006011683,0.0007477509,0.00029762,0.00354296],"study_design_scores_gemma":[0.000003356525,0.00003426288,0.001125157,0.0001970219,0.000003588122,0.00008160144,0.9949473,0.00008697669,0.0002099913,0.0003022286,0.003,0.000008647741],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9754683,0.0007752259,0.0100259,0.003922127,0.0001110705,0.00178715,0.0004721329,0.00005273932,0.007385359],"genre_scores_gemma":[0.9832141,0.001327067,0.007547177,0.001084425,0.00003195489,0.002753487,0.0001793462,0.00006287039,0.003799589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02515916,"threshold_uncertainty_score":0.133056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03521434057557572,"score_gpt":0.4213201287021201,"score_spread":0.3861057881265444,"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."}}