{"id":"W2137656062","doi":"10.1002/jbm.a.35385","title":"Poly(ethylene glycol)‐or silicone‐modified hyaluronan for contact lens wetting agent applications","year":2014,"lang":"en","type":"article","venue":"Journal of Biomedical Materials Research Part A","topic":"Ocular Surface and Contact Lens","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Materials science; Contact angle; Ethylene glycol; Polyethylene glycol; Wetting; Contact lens; Polymer chemistry; Self-healing hydrogels; Monomer; Silicone; Biopolymer; Chemical engineering; Polymer; Adsorption; Organic chemistry; Composite material; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.005428009,0.0001934761,0.0007682986,0.0003798806,0.0002481622,0.0001080817,0.0003247799,0.0002273503,0.0007308295],"category_scores_gemma":[0.002290691,0.0001299934,0.0002252927,0.0003129141,0.0002189772,0.0001364732,0.0001068964,0.000433271,0.00009598921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001486492,"about_ca_system_score_gemma":0.0005697931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004298377,"about_ca_topic_score_gemma":0.000008461497,"domain_scores_codex":[0.9961069,0.0004513308,0.001068454,0.0002852298,0.001335726,0.0007524079],"domain_scores_gemma":[0.9967751,0.001075083,0.000339752,0.0004036384,0.0007445092,0.0006619368],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002658597,0.0006313137,0.0001861135,0.0004770634,0.0002403305,0.00008799168,0.000112573,2.329808e-7,0.9492363,0.00102281,0.003608745,0.04173796],"study_design_scores_gemma":[0.005393393,0.007151598,0.001658169,0.0006342317,0.0001452628,0.0001137455,0.0002584546,0.00008526928,0.1838797,0.0004271267,0.8000466,0.0002064262],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9671085,0.0009491821,0.01052523,0.01804852,0.0008697648,0.001887064,0.0001095855,0.0000455189,0.0004565581],"genre_scores_gemma":[0.9934852,0.000312437,0.001422154,0.0006097995,0.002943936,0.0001720663,0.00004185212,0.00004642908,0.0009661189],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7964379,"threshold_uncertainty_score":0.8002071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0920165776016401,"score_gpt":0.3947756524090602,"score_spread":0.30275907480742,"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."}}