{"id":"W4414519711","doi":"10.3389/fpubh.2025.1619274","title":"HEAL-Summ: a lightweight and ethical framework for accessible summarization of health information","year":2025,"lang":"en","type":"article","venue":"Frontiers in Public Health","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Canada First Research Excellence Fund","keywords":"Automatic summarization; Software deployment; Health information; Scalability; Public health; Work (physics); Health communication; Key (lock)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.01138905,0.001497592,0.0007047897,0.005326341,0.001600224,0.005078386,0.001760511,0.001360504,0.01031289],"category_scores_gemma":[0.05678321,0.0004852791,0.001158274,0.001944518,0.001240799,0.004052621,0.003698786,0.001683797,0.002876688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002549316,"about_ca_system_score_gemma":0.004964661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01307645,"about_ca_topic_score_gemma":0.02421556,"domain_scores_codex":[0.990785,0.005160943,0.0008722096,0.0007506809,0.002209704,0.0002213762],"domain_scores_gemma":[0.9726505,0.01474351,0.002258576,0.0025678,0.006884855,0.0008947538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006222867,0.0003482471,0.006007102,0.002564713,0.0002544982,0.0006285712,0.01044782,0.02604342,0.01807659,0.08893951,0.1032311,0.7428362],"study_design_scores_gemma":[0.0002046329,0.0006068465,0.00669399,0.001512057,0.0003559513,0.0005185552,0.006754301,0.4330114,0.02796486,0.1827781,0.3391747,0.0004247369],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0107641,0.0004781547,0.9486477,0.002866325,0.0002311621,0.001882927,0.005305301,0.02026471,0.009559667],"genre_scores_gemma":[0.09594004,0.0003227776,0.8863671,0.0004534718,0.0002070127,0.001416991,0.009225904,0.00114533,0.004921529],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01307645,"threshold_uncertainty_score":0.06023175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03130722138850833,"score_gpt":0.33050573203526,"score_spread":0.2991985106467516,"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."}}