{"id":"W4403381112","doi":"10.3390/jfb15100305","title":"Role of Niobium on the Passivation Mechanisms of TiHfZrNb High-Entropy Alloys in Hanks’ Simulated Body Fluid","year":2024,"lang":"en","type":"article","venue":"Journal of Functional Biomaterials","topic":"High Entropy Alloys Studies","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Army Research Office; Division of Materials Research; Natural Sciences and Engineering Research Council of Canada; Tennessee Higher Education Commission; National Science Foundation","keywords":"Passivation; Niobium; Materials science; Dissolution; Simulated body fluid; Biocompatibility; Corrosion; Metallurgy; Electrochemistry; Chemical engineering; Layer (electronics); Composite material; Electrode; Scanning electron microscope; Physical chemistry; Chemistry","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":[0.000544923,0.0001633881,0.0003788087,0.0003216773,0.00003066494,0.00003478706,0.0001306552,0.000088493,0.0004037162],"category_scores_gemma":[0.0001169922,0.0001085602,0.0001206892,0.000270608,0.00003925718,0.0001496574,0.00002703276,0.00007408368,0.00002425468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001183079,"about_ca_system_score_gemma":0.00003857315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001497126,"about_ca_topic_score_gemma":0.000001773336,"domain_scores_codex":[0.9983509,0.00008482527,0.0008600755,0.0001026688,0.0004396574,0.0001618638],"domain_scores_gemma":[0.9992027,0.000270262,0.0002029942,0.0001206439,0.000170842,0.00003261826],"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":[0.0001882514,0.00005228187,0.00003165253,0.00008083373,0.0003136607,0.000009767542,0.00008767388,0.03233656,0.9480408,0.01718326,0.001637858,0.00003741261],"study_design_scores_gemma":[0.0004428145,0.0002861164,0.005525731,0.0002868203,0.00006062832,0.0000168882,0.00007563944,0.004259162,0.9810044,0.007173833,0.0007596913,0.0001082562],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941027,0.0003823311,0.002038485,0.0004854062,0.002660048,0.0001445846,0.00005779837,0.00004477761,0.00008393647],"genre_scores_gemma":[0.9993634,0.00008221949,0.0001598451,0.00002112464,0.0003041596,0.000004524305,0.00001106941,0.00002651627,0.00002716482],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03296363,"threshold_uncertainty_score":0.4426958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008531642703152023,"score_gpt":0.2029461352977311,"score_spread":0.1944144925945791,"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."}}