{"id":"W4376637205","doi":"10.1089/derm.2023.0059","title":"Utility of Allergen-Specific Patient-Directed Handouts Generated by Chat Generative Pretrained Transformer","year":2023,"lang":"en","type":"article","venue":"Dermatitis","topic":"Asthma and respiratory diseases","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Dermatology; Library science; Family medicine; Computer science","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":[0.0006594986,0.001565031,0.000453043,0.0006869661,0.0001814108,0.0006396844,0.0009452956,0.0008319693,0.03292695],"category_scores_gemma":[0.004342289,0.0002857012,0.0004413989,0.0002273362,0.0001698538,0.0007435994,0.0008268771,0.000476866,0.007691701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000252892,"about_ca_system_score_gemma":0.0004048948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001140844,"about_ca_topic_score_gemma":0.001354138,"domain_scores_codex":[0.9996095,0.0001361167,0.00002445698,0.0001112485,0.00008488608,0.00003380866],"domain_scores_gemma":[0.997277,0.001893865,0.00007313063,0.0003031056,0.0003177032,0.0001352859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003897127,0.001297873,0.007965477,0.0009795326,0.0001117465,0.003196592,0.00111206,0.02423882,0.08663468,0.002054045,0.03404116,0.8344709],"study_design_scores_gemma":[0.0009086856,0.002153282,0.0166035,0.0003371667,0.0003680692,0.005587616,0.001239614,0.6623238,0.2406959,0.009154028,0.06039338,0.0002349253],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2075557,0.0004255399,0.6082841,0.0004085373,0.0004494794,0.001024956,0.005263674,0.1472986,0.02928957],"genre_scores_gemma":[0.7827014,0.0002686806,0.1838236,0.0003066764,0.00009053216,0.0004100424,0.005025938,0.003412002,0.02396121],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03292695,"threshold_uncertainty_score":0.1101516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01816534105588106,"score_gpt":0.2463217596416771,"score_spread":0.228156418585796,"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."}}