{"id":"W4416453432","doi":"10.1002/adfm.202523693","title":"Proteins, Processing, and Properties of Adhesive Fluid Condensates Purified from Mussels","year":2025,"lang":"en","type":"article","venue":"Advanced Functional Materials","topic":"Polymer Surface Interaction Studies","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Fonds de recherche du Québec – Nature et technologies; Max-Planck-Gesellschaft; Deutsche Forschungsgemeinschaft; McGill University; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; McGill University Health Centre; National Science Foundation","keywords":"Vesicle; Microporous material; Mussel; Adhesion; Characterization (materials science); Adhesive; Underwater","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":[0.0001373434,0.0003311915,0.0001159324,0.0002872125,0.0001419945,0.0002454563,0.00008290228,0.0001741279,0.0004697586],"category_scores_gemma":[0.0001887102,0.00009895163,0.0002154345,0.0001936859,0.000174703,0.0001774611,0.0001508038,0.0002402964,0.0001582682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001375481,"about_ca_system_score_gemma":0.0001116879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008943668,"about_ca_topic_score_gemma":0.0009907505,"domain_scores_codex":[0.9999285,0.000009027462,0.000007660149,0.00002002487,0.00002094113,0.00001380073],"domain_scores_gemma":[0.9999299,0.00001677235,0.00002242485,0.000005487841,0.00001328974,0.00001218178],"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":[0.00001928176,0.000003555728,0.0005174936,0.00001416683,0.000005168065,0.00001787881,0.00001597992,0.00004991539,0.9989904,0.00001192225,0.000005982742,0.0003483669],"study_design_scores_gemma":[0.000002847165,0.00007094971,0.0213921,0.000007317136,0.00001359208,0.00008603102,0.00007122033,0.0006408879,0.9770569,0.00002634441,0.0006243754,0.000007416709],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974883,0.0004027596,0.001476545,0.00001588027,0.000006062949,0.000008054146,0.0002445861,0.00001383193,0.0003439659],"genre_scores_gemma":[0.9956458,0.0002895065,0.001527637,0.00002612032,0.000003191938,0.00001518777,0.0007370909,0.00001698554,0.001738501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008943668,"threshold_uncertainty_score":0.001778305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01978320461396572,"score_gpt":0.2494465590381328,"score_spread":0.2296633544241671,"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."}}