{"id":"W4414425989","doi":"10.3389/fdgth.2025.1590514","title":"Exploring health professionals' views on the depiction of conversational agents as health professionals: a qualitative descriptive study","year":2025,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"New Brunswick Innovation Foundation","keywords":"Depiction; Qualitative research; Health professionals; Descriptive research; Visual methods; Descriptive statistics; Qualitative analysis","routes":{"ca_aff":true,"ca_fund":true,"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":[0.02771482,0.0008225325,0.001036544,0.003148666,0.01040876,0.006672571,0.001900792,0.002695498,0.003786134],"category_scores_gemma":[0.04518551,0.001156652,0.000488398,0.002424157,0.01089935,0.006091095,0.007197698,0.003882248,0.0006634864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006618151,"about_ca_system_score_gemma":0.006528048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01021586,"about_ca_topic_score_gemma":0.01133755,"domain_scores_codex":[0.9754915,0.01912249,0.0008876047,0.001022405,0.001574362,0.0019016],"domain_scores_gemma":[0.9371288,0.05278932,0.002898185,0.0009450084,0.003557614,0.002681063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001935909,0.00001447172,0.0008685631,0.0001176192,0.00000185991,0.0002927844,0.9964605,0.000009354412,0.00033507,0.0004252588,0.0001614262,0.001293762],"study_design_scores_gemma":[0.000002920958,0.0000191306,0.0003784335,0.0001650756,0.000002439328,0.0001432803,0.9954653,0.00004079548,0.0001695323,0.0001332033,0.003472322,0.000007511589],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9816072,0.001300422,0.005311043,0.003991318,0.0001148079,0.0005459789,0.0003654828,0.00003717348,0.006726583],"genre_scores_gemma":[0.9897791,0.001536137,0.002571761,0.001665668,0.00005016223,0.001076167,0.0001511483,0.0000574615,0.003112504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02771482,"threshold_uncertainty_score":0.1465717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5097779232204633,"score_gpt":0.5401444377316784,"score_spread":0.03036651451121508,"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."}}