{"id":"W4391723411","doi":"10.1002/adma.202313211","title":"Dual‐Protection Inorganic‐Protein Coating on Mg‐Based Biomaterials through Tooth‐Enamel‐Inspired Biomineralization","year":2024,"lang":"en","type":"article","venue":"Advanced Materials","topic":"Magnesium Alloys: Properties and Applications","field":"Materials Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council; Canada Foundation for Innovation","keywords":"Biomineralization; Materials science; Enamel paint; Coating; Tooth enamel; Dual (grammatical number); Dual role; Nanotechnology; Chemical engineering; Composite material; Chemistry; Combinatorial 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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006557346,0.0004132776,0.0004491446,0.0001376153,0.0003862044,0.0007824135,0.0002676345,0.0001797418,0.003258932],"category_scores_gemma":[0.0002134051,0.0003450093,0.00007437861,0.0004522406,0.0001186189,0.0007415265,0.000102732,0.00005172697,0.001256233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001901281,"about_ca_system_score_gemma":0.0001116295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003688663,"about_ca_topic_score_gemma":0.00001506639,"domain_scores_codex":[0.9971143,0.0002127879,0.0008426134,0.0008559174,0.0004545236,0.00051984],"domain_scores_gemma":[0.9988028,0.00005824945,0.0002730149,0.0006104609,0.0001707281,0.00008478143],"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":[0.0001440106,0.00007112338,4.367165e-7,0.0003908897,0.000007478399,0.000008730489,0.0001268603,0.0002655762,0.9897703,0.00805394,0.0003018227,0.0008588666],"study_design_scores_gemma":[0.0004851625,0.0002453146,0.00002022961,0.0003352194,0.00002679948,0.000009283925,0.00004941565,0.0002055658,0.9826882,0.002426552,0.01306912,0.0004391008],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846552,0.0001411335,0.007867169,0.001521834,0.00211436,0.001506471,0.0003040464,0.001151777,0.0007380203],"genre_scores_gemma":[0.9906626,0.00002023956,0.006435903,0.0004091607,0.0005230501,0.001004176,0.0001354954,0.0001088944,0.0007004439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0127673,"threshold_uncertainty_score":0.9999002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0256573074146083,"score_gpt":0.2645360350058737,"score_spread":0.2388787275912654,"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."}}