{"id":"W2279602234","doi":"10.1002/masy.201500116","title":"Poly(Sodium Acrylate)‐Based Nanocomposite Bioadhesives for Sutureless Surgery","year":2016,"lang":"en","type":"article","venue":"Macromolecular Symposia","topic":"Surgical Sutures and Adhesives","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Nanocomposite; Acrylate; Materials science; Polymer; Polymerization; Sodium alginate; Biocompatible material; Chemical engineering; Composite material; Biomedical engineering; Sodium; Copolymer; Medicine","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":[0.0001623794,0.0003220003,0.0001012312,0.0003076263,0.0001235932,0.0002139037,0.0001226138,0.0002239544,0.001269316],"category_scores_gemma":[0.0001332133,0.0001554916,0.0001473841,0.0001021663,0.00009636165,0.0002086605,0.0001425824,0.0002589927,0.0003080413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001375283,"about_ca_system_score_gemma":0.00015358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000175565,"about_ca_topic_score_gemma":0.0006343122,"domain_scores_codex":[0.9999424,0.00001116952,0.000005080392,0.000008537421,0.00002427066,0.000008383407],"domain_scores_gemma":[0.9999173,0.00001883234,0.0000246238,0.000003362769,0.00001709159,0.00001879566],"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":[0.00003818866,0.00004138834,0.0001145436,0.0001469303,0.000005029453,0.0000582443,0.00001432971,0.0002362161,0.9848268,0.0002504618,0.0001632184,0.0141047],"study_design_scores_gemma":[0.00002348637,0.000725634,0.002120293,0.00003312937,0.00003516152,0.000302385,0.00001962573,0.003168304,0.9776009,0.0001198097,0.01583829,0.00001280703],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.896398,0.04521961,0.04466988,0.0005884964,0.0006516532,0.000139156,0.0001050932,0.0005484129,0.01167965],"genre_scores_gemma":[0.9612195,0.00984405,0.02287004,0.0001056156,0.000113054,0.00005691593,0.00005407699,0.00002958995,0.005707047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001269316,"threshold_uncertainty_score":0.004246294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01397299670086609,"score_gpt":0.2555406769593053,"score_spread":0.2415676802584392,"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."}}