{"id":"W2141121020","doi":"10.1002/jbm.a.31338","title":"Biocompatibility of novel polymer‐apatite nanocomposite fibers","year":2007,"lang":"en","type":"article","venue":"Journal of Biomedical Materials Research Part A","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital; National Research Council Canada; Polytechnique Montréal","funders":"Institut de Cardiologie de Montréal","keywords":"Materials science; Biocompatibility; Biomaterial; Polyethylene terephthalate; Nanocomposite; Composite number; Biomedical engineering; Apatite; Composite material; Fiber; Viability assay; In vitro; Nanotechnology; Chemical engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006952042,0.0001900692,0.000661048,0.0006703982,0.00004613505,0.00005777699,0.000462691,0.0001939206,0.0006262478],"category_scores_gemma":[0.0003048917,0.0001588573,0.0001014715,0.0005556239,0.0003646035,0.0001712495,0.000108455,0.0003175916,0.00002868832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000132229,"about_ca_system_score_gemma":0.00007735142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004883732,"about_ca_topic_score_gemma":0.000002514771,"domain_scores_codex":[0.9963315,0.0001364687,0.001500172,0.0001511056,0.001237128,0.0006436787],"domain_scores_gemma":[0.9983755,0.0003791926,0.0002056718,0.0003123773,0.000306499,0.0004207605],"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":[0.0001542403,0.0001770378,0.00002972196,0.0003906875,0.00009126027,0.00004379388,0.0001916789,0.00007401845,0.9951867,0.00006926072,0.002391427,0.00120015],"study_design_scores_gemma":[0.0008810676,0.0003414611,0.001509918,0.0003655699,0.00001253146,0.00007392242,0.00003551622,0.0001031352,0.9873103,0.00004358988,0.009176661,0.0001463209],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927735,0.0004498263,0.00413247,0.0001184847,0.00201444,0.0002171623,0.00009156166,0.00005610157,0.0001464657],"genre_scores_gemma":[0.9953523,0.00008012509,0.003652209,0.000006875657,0.0008036271,0.000004260558,0.00000902509,0.00004440067,0.00004715323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007876418,"threshold_uncertainty_score":0.6856974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04354127942392438,"score_gpt":0.3352891119403621,"score_spread":0.2917478325164377,"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."}}