{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001315451,0.0003951062,0.0001727922,0.0004411589,0.0001599876,0.0004646351,0.00007786071,0.0003173629,0.001116363],"category_scores_gemma":[0.0001487651,0.0001115809,0.0002570807,0.0002446752,0.0001583498,0.0003928102,0.0002683697,0.0004435946,0.0001733497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001273477,"about_ca_system_score_gemma":0.0001236683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002333184,"about_ca_topic_score_gemma":0.0006843298,"domain_scores_codex":[0.9999379,0.00001229747,0.000003210998,0.00001339703,0.00002187743,0.00001129946],"domain_scores_gemma":[0.999933,0.00001211683,0.00002230645,0.000003984536,0.00001234389,0.00001616374],"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":[0.00008253095,0.00002644268,0.0005041382,0.0001604385,0.00001268871,0.00008826002,0.00001965557,0.0000909166,0.9890709,0.0001469576,0.00006319641,0.009733927],"study_design_scores_gemma":[0.00001449266,0.0005579065,0.02783142,0.0001183013,0.0000658147,0.0005927946,0.0001531344,0.0009898654,0.9527796,0.0003188711,0.01655697,0.00002086748],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9719981,0.01383781,0.008691858,0.0003789872,0.00009386936,0.00007185802,0.0005970622,0.00009278469,0.004237618],"genre_scores_gemma":[0.9837967,0.004072368,0.007459296,0.0002576265,0.00002906605,0.00002952287,0.0003548476,0.00002181535,0.003978745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001116363,"threshold_uncertainty_score":0.003734589,"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."}}