{"id":"W3131164389","doi":"10.3390/ma14041047","title":"Development of Multifunctional Materials Based on Poly(ether ether ketone) with Improved Biological Performances for Dental Applications","year":2021,"lang":"en","type":"article","venue":"Materials","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Consejo Nacional de Ciencia y Tecnología","keywords":"Peek; Thermogravimetric analysis; Differential scanning calorimetry; Materials science; Thermal stability; Ether; Nanoparticle; Polyether ether ketone; Dental implant; Ketone; Chemical engineering; Biomedical engineering; Implant; Nanotechnology; Composite material; Polymer; Chemistry; Organic chemistry; Surgery","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002823571,0.000236668,0.0003835783,0.00006536012,0.00006501602,0.00005877963,0.0001167756,0.0001279607,0.001512932],"category_scores_gemma":[0.00001368194,0.0001905333,0.00003186104,0.00008160481,0.00003927477,0.00005654753,0.00002607685,0.00003429413,0.00004202806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006391923,"about_ca_system_score_gemma":0.0000492031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003534862,"about_ca_topic_score_gemma":0.000003727361,"domain_scores_codex":[0.9988741,0.00003166073,0.0004642858,0.0002388562,0.0001322911,0.000258853],"domain_scores_gemma":[0.9995229,0.00006272461,0.00008124033,0.0002320941,0.00005234759,0.00004872205],"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":[0.0001445605,0.00005620129,0.00002794199,0.0002485937,0.00005803998,8.997151e-7,0.00007470815,0.001195286,0.9971375,0.0002571028,0.00002291491,0.0007762174],"study_design_scores_gemma":[0.0006636334,0.00006155107,0.001287487,0.00006395199,0.00001508761,0.000004703907,0.0000381667,0.0003896637,0.9919599,0.0000219921,0.005245624,0.0002482927],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9627122,0.00005724858,0.03515785,0.00001579171,0.0007074096,0.0006139874,0.0003746939,0.0002292508,0.000131577],"genre_scores_gemma":[0.8904482,0.000002970619,0.1079536,0.00002648951,0.0001935468,0.0008937168,0.0002875121,0.00006393329,0.0001300942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07279575,"threshold_uncertainty_score":0.9993998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01764669006642209,"score_gpt":0.2227094752197919,"score_spread":0.2050627851533698,"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."}}