{"id":"W2076694210","doi":"10.1163/092050611x589338","title":"<i>In Vitro</i> Biocompatibility Evaluation of Novel Urethane–Siloxane Co-Polymers Based on Poly( <i>ϵ</i> -Caprolactone)- <i>block</i> -Poly(Dimethylsiloxane)- <i>block</i> -Poly( <i>ϵ</i> -Caprolactone)","year":2012,"lang":"en","type":"article","venue":"Journal of Biomaterials Science Polymer Edition","topic":"biodegradable polymer synthesis and properties","field":"Materials Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Biological Sciences","funders":"","keywords":"Biocompatibility; Caprolactone; Crystallinity; Materials science; Polyurethane; Polymer; Siloxane; Polymer chemistry; Contact angle; Chemical engineering; Protein adsorption; Composite material; Copolymer","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.02037746,0.00105321,0.001867906,0.001701645,0.0006299937,0.0004175537,0.001747965,0.000515336,0.001134861],"category_scores_gemma":[0.0006666696,0.0008212031,0.0005643998,0.001953707,0.00225879,0.003830447,0.000188569,0.0003926484,0.00008914081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006394745,"about_ca_system_score_gemma":0.001635122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007579,"about_ca_topic_score_gemma":0.000009109162,"domain_scores_codex":[0.9863871,0.001520796,0.003443018,0.001135661,0.005497109,0.002016262],"domain_scores_gemma":[0.9925248,0.0006308676,0.003509304,0.001345882,0.001083391,0.0009057647],"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":[0.002419898,0.002311948,0.00028783,0.0001566958,0.00003506814,0.000004998795,0.001193201,0.00001284707,0.9884527,0.00002587355,0.0004603176,0.004638659],"study_design_scores_gemma":[0.003593396,0.0007342365,0.0006507619,0.0004023012,0.0003357924,0.0001757706,0.000642301,0.0007807557,0.9915037,0.00003038387,0.0002565212,0.0008940404],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9626626,0.02347535,0.0003334638,0.001323168,0.01001278,0.0008751442,0.0006110052,0.00008456346,0.0006218818],"genre_scores_gemma":[0.9947252,0.00006219497,0.001847261,0.001319524,0.001789282,0.0001037488,0.00003323532,0.00009253751,0.00002705294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03206253,"threshold_uncertainty_score":0.9997782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04521512747261056,"score_gpt":0.2994792032374708,"score_spread":0.2542640757648603,"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."}}