{"id":"W4411070937","doi":"10.3390/cosmetics12030118","title":"Role of Emulsifiers and SPF Booster in Sunscreen Performance: Assessing SPF, Rheological Behavior, Texture, and Stability","year":2025,"lang":"en","type":"article","venue":"Cosmetics","topic":"Skin Protection and Aging","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Faculté de pharmacie, Université de Montréal; Univerzita Komenského v Bratislave","keywords":"Rheology; Texture (cosmology); Booster (rocketry); Materials science; Food science; Computer science; Composite material; Chemistry; Artificial intelligence; Engineering; Aerospace engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0007635741,0.000486933,0.000606078,0.0003083257,0.000210382,0.0004970678,0.0002513111,0.0004248178,0.001041904],"category_scores_gemma":[0.001175861,0.0001992946,0.0003876283,0.0002191901,0.0002216287,0.0005761379,0.0002195233,0.000509007,0.0002521646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002262442,"about_ca_system_score_gemma":0.0002594396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008905245,"about_ca_topic_score_gemma":0.00140902,"domain_scores_codex":[0.9994266,0.0001579046,0.00005018353,0.0001090233,0.0002075844,0.00004876467],"domain_scores_gemma":[0.9993411,0.0002463815,0.0001662157,0.0000381428,0.000155982,0.00005224995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007391104,0.0001369988,0.002458307,0.0001749919,0.00003767792,0.00005134062,0.0000430931,0.0001657119,0.9807231,0.00002010647,0.00002567417,0.015424],"study_design_scores_gemma":[0.00001348787,0.002708387,0.0177312,0.00002585896,0.00009526447,0.0001701259,0.00006920434,0.000801085,0.977416,0.00001553722,0.0009388172,0.00001496879],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937509,0.004081014,0.001120733,0.00003554977,0.00001848207,0.0000389076,0.00006273104,0.00001913711,0.0008725991],"genre_scores_gemma":[0.9896449,0.002618853,0.006529849,0.00005976417,0.00001465923,0.0000289448,0.000113451,0.00002102547,0.0009685172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001041904,"threshold_uncertainty_score":0.004038274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02330703720929381,"score_gpt":0.3035111120569733,"score_spread":0.2802040748476795,"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."}}