{"id":"W1976594479","doi":"10.1016/s0014-3057(01)00015-5","title":"Preparation and characterization of a poly(2-hydroxyethyl methacrylate) biomedical hydrogel","year":2001,"lang":"en","type":"article","venue":"European Polymer Journal","topic":"Proteoglycans and glycosaminoglycans research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"London Health Sciences Centre; Robarts Clinical Trials; Western University","funders":"","keywords":"Heparin; Glutaraldehyde; Thrombogenicity; Partial thromboplastin time; Methacrylate; 2-Hydroxyethyl Methacrylate; Thrombin time; Polymer chemistry; (Hydroxyethyl)methacrylate; Chemistry; Materials science; Chromatography; Nuclear chemistry; Polymer; Coagulation; Copolymer; Organic chemistry; Surgery; Biochemistry; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003170342,0.0003202021,0.00019576,0.0003211942,0.0002002409,0.0002166531,0.000250072,0.0003056451,0.001432814],"category_scores_gemma":[0.0002867097,0.0001998711,0.0001948791,0.0002111182,0.0001563639,0.000305133,0.000161919,0.0003751023,0.0005766747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001649789,"about_ca_system_score_gemma":0.0001400417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001938812,"about_ca_topic_score_gemma":0.0002866772,"domain_scores_codex":[0.9998624,0.000009807563,0.00001992747,0.00003357232,0.00004928876,0.00002492726],"domain_scores_gemma":[0.9997062,0.00005905982,0.00007358966,0.00003817599,0.00005892503,0.00006411403],"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":[0.00001515001,0.00001732396,0.00003468979,0.00001692193,0.000001769194,0.00002173405,0.000007110091,0.00004553213,0.9988952,0.00002473403,0.00001961288,0.0009002475],"study_design_scores_gemma":[0.00001012777,0.0001007792,0.0007123779,0.000003072902,0.000005815481,0.00006143148,0.00000514865,0.0005817626,0.9975892,0.00001532916,0.0009115563,0.000003323245],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.925624,0.001519555,0.06630369,0.0003803637,0.0001652446,0.0004273415,0.0008324538,0.0004650812,0.004282282],"genre_scores_gemma":[0.9470281,0.0007349562,0.04497497,0.0001937509,0.00005182885,0.0003201273,0.0006153188,0.0001202969,0.005960627],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001432814,"threshold_uncertainty_score":0.004793227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01092035462399644,"score_gpt":0.2756969018547041,"score_spread":0.2647765472307076,"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."}}