{"id":"W4412431010","doi":"10.1016/j.microb.2025.100448","title":"“Bleu VS Yellow”: Marennine and extracellular polysaccharides for potential application in cosmetic and pharmaceutical applications","year":2025,"lang":"en","type":"article","venue":"The Microbe","topic":"Bee Products Chemical Analysis","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski","funders":"Fonds de recherche du Québec – Nature et technologies; Mitacs; Ministère de l'Économie, de la Science et de l'Innovation - Québec","keywords":"Polysaccharide; BLEU; Extracellular; Extracellular polysaccharide; Chemistry; Traditional medicine; Computer science; Medicine; Artificial intelligence; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002125446,0.00008349629,0.0001187704,0.00001426864,0.0001326215,0.00003879485,0.0001434268,0.00004880247,0.00002235094],"category_scores_gemma":[0.00001394487,0.00003264767,0.00003276878,0.0003053589,0.0001290627,0.00003054819,0.00009298162,0.00008538856,0.00000342098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001124268,"about_ca_system_score_gemma":0.000003116846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001158908,"about_ca_topic_score_gemma":0.00006986197,"domain_scores_codex":[0.9993628,0.00002525626,0.0001524475,0.0002673802,0.00004305114,0.000149029],"domain_scores_gemma":[0.9997103,0.0001319667,0.00003299774,0.00006069543,0.00002983105,0.00003422556],"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":[0.00002530306,0.0000390606,0.0007774173,0.00001731035,0.00001081959,1.005877e-7,0.00001163419,0.000001799413,0.9300128,0.0005721976,0.000196007,0.06833556],"study_design_scores_gemma":[0.0009640834,0.00007559722,0.01992344,0.00004602526,0.000455176,0.00001840044,0.0003355184,0.007183062,0.7347869,0.02383583,0.2118849,0.0004910696],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9754215,0.004230129,0.002029699,0.01756492,0.00001378404,0.0006361248,0.00002424182,0.00002697014,0.00005264765],"genre_scores_gemma":[0.9981164,0.0003021052,0.0003961429,0.0003362415,0.00006637396,0.0001124443,0.00003460707,7.821531e-7,0.0006349297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2116889,"threshold_uncertainty_score":0.1331333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007744516518547309,"score_gpt":0.2344585052841911,"score_spread":0.2267139887656438,"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."}}