{"id":"W1998624348","doi":"10.1016/j.biomaterials.2007.10.039","title":"Hyaluronic acid containing hydrogels for the reduction of protein adsorption","year":2007,"lang":"en","type":"article","venue":"Biomaterials","topic":"Ocular Surface and Contact Lens","field":"Medicine","cited_by":132,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Self-healing hydrogels; Contact lens; Differential scanning calorimetry; Wetting; Methacrylate; Adsorption; Contact angle; Chemical engineering; Hyaluronic acid; Protein adsorption; Optical transparency; Lens (geology); Composite material; Polymer; Polymer chemistry; Optics; Chemistry; Copolymer; Organic chemistry; Optoelectronics","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":[0.0001997034,0.0004036558,0.0001640161,0.0001741279,0.0001246235,0.0002204264,0.0001831515,0.0003190618,0.001103469],"category_scores_gemma":[0.0001359736,0.0001655838,0.0002293254,0.0001808704,0.000135091,0.0002792381,0.0001880623,0.0004254709,0.0002207421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002381558,"about_ca_system_score_gemma":0.000149068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003307787,"about_ca_topic_score_gemma":0.0008317481,"domain_scores_codex":[0.9999037,0.00001531765,0.000007527823,0.00001607687,0.00003524089,0.00002218407],"domain_scores_gemma":[0.9999131,0.0000296927,0.00002475822,0.00000842262,0.000009927253,0.00001412603],"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":[0.00002807213,0.00001129593,0.00001761483,0.00004168788,0.00000369605,0.00001843343,0.00000795414,0.00004043123,0.9984139,0.00006952405,0.00003288245,0.001314499],"study_design_scores_gemma":[0.000002828556,0.00003096164,0.0001782596,0.000002606111,0.000005546559,0.00004771896,0.00000282976,0.0002317941,0.9987566,0.00001362894,0.0007250952,0.00000206871],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9588667,0.01134578,0.0250009,0.0001931988,0.0001201975,0.00007047303,0.0002732687,0.0001140599,0.004015387],"genre_scores_gemma":[0.9750431,0.003662674,0.01428638,0.000136536,0.00002591535,0.00004277746,0.000258116,0.00004448314,0.006499942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001103469,"threshold_uncertainty_score":0.003691435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02559242536402231,"score_gpt":0.2900382965597714,"score_spread":0.264445871195749,"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."}}