{"id":"W4415350855","doi":"10.3390/curroncol32100582","title":"Readability of Chatbot Responses in Prostate Cancer and Urological Care: Objective Metrics Versus Patient Perceptions","year":2025,"lang":"en","type":"article","venue":"Current Oncology","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Deutsche Gesellschaft für Urologie","keywords":"Readability; Chatbot; CLARITY; Health literacy; Reading (process); Perception; Literacy; Plain language","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":[0.01104495,0.0004127216,0.0005084828,0.001224559,0.0003495049,0.001387583,0.0003589462,0.0005865722,0.00327155],"category_scores_gemma":[0.07514067,0.0001709719,0.0005475234,0.0006544068,0.0006702064,0.001075233,0.001671882,0.0007242562,0.000563833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006406738,"about_ca_system_score_gemma":0.0004635482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006143934,"about_ca_topic_score_gemma":0.001028078,"domain_scores_codex":[0.9897671,0.006088811,0.001179872,0.0008152156,0.001766659,0.0003822934],"domain_scores_gemma":[0.9125827,0.06422468,0.01374106,0.001264775,0.005429525,0.002757292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002636476,0.0008208417,0.8485308,0.001189846,0.0003669641,0.0004149923,0.05945386,0.0006725492,0.006913106,0.0001554958,0.001085073,0.07776009],"study_design_scores_gemma":[0.00004362988,0.00292522,0.9689994,0.0002197057,0.0001432592,0.0006190217,0.02038635,0.00170321,0.002699462,0.00022008,0.001949949,0.0000905886],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976229,0.0002084573,0.0008752188,0.0001090192,0.00001333928,0.00006979409,0.0001706377,0.00002592857,0.000904751],"genre_scores_gemma":[0.9980181,0.0001239578,0.0009313073,0.00008196462,0.0000193342,0.0001367116,0.0001928634,0.00001465357,0.0004810277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01104495,"threshold_uncertainty_score":0.05841196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.290372396094711,"score_gpt":0.5450307824072491,"score_spread":0.2546583863125381,"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."}}