{"id":"W4414160135","doi":"10.1177/17103568251380567","title":"<i>Letter:</i> Lip Sunscreens: Analysis of Allergenicity and Marketing Claims","year":2025,"lang":"en","type":"letter","venue":"Dermatitis","topic":"Skin Protection and Aging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"MEDLINE; Health claims on food labels; Affinity analysis","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000279705,0.0002335569,0.0008151659,0.0007822367,0.00007388355,0.00002894339,0.00009467029,0.0004123729,0.000562072],"category_scores_gemma":[0.0001480755,0.0002248074,0.0003377835,0.0007476893,0.00007373507,0.00004450667,0.0000796415,0.0009243189,0.000005278907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003969927,"about_ca_system_score_gemma":0.00004257443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002326471,"about_ca_topic_score_gemma":0.00003719818,"domain_scores_codex":[0.9984084,0.0001801301,0.0004993612,0.0003384862,0.0003325295,0.0002410681],"domain_scores_gemma":[0.9989118,0.0003022349,0.0002409923,0.0003835233,0.0001128395,0.00004862237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005921743,0.000009157638,0.004398997,0.0008106041,0.00176817,0.0002083949,0.00006454108,0.000001812939,0.00002914927,0.000002652876,0.9900735,0.002627122],"study_design_scores_gemma":[0.0003619665,0.00001308001,0.0416607,0.000633719,0.002399233,0.00005598552,0.00001570052,0.0007514493,0.0002122725,0.00001343545,0.953702,0.0001804828],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.003743993,0.0005277992,0.001037959,0.9827095,0.0002680799,0.0003666672,0.0001126155,0.00009326279,0.01114014],"genre_scores_gemma":[0.008018899,0.0004570856,0.0006758385,0.9855639,0.0007769623,0.00002653258,0.0004379173,0.00002330641,0.004019528],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.0372617,"threshold_uncertainty_score":0.9167381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01259821902193746,"score_gpt":0.2471337194978533,"score_spread":0.2345355004759159,"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."}}