{"id":"W4413384416","doi":"10.1016/j.surfin.2025.107441","title":"Molecular dynamics insights into the pH-dependent growth mechanisms of hydroxyapatite nanoparticles surface","year":2025,"lang":"en","type":"article","venue":"Surfaces and Interfaces","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Sichuan Province Science and Technology Support Program; China Postdoctoral Science Foundation; National Natural Science Foundation of China; Sichuan Provincial Postdoctoral Science Foundation","keywords":"Materials science; Nanoparticle; Molecular dynamics; Nanotechnology; Chemical engineering; Surface (topology); Dynamics (music); Chemical physics; Computational chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001647425,0.0002118518,0.0002782043,0.0000574464,0.00005897942,0.00007402975,0.0002459175,0.00007868811,0.00002034007],"category_scores_gemma":[0.00002349245,0.0001605794,0.0000329647,0.0001772866,0.00008520463,0.0001337142,0.0001213682,0.0001088937,0.000007966699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005451239,"about_ca_system_score_gemma":0.00001390122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000232921,"about_ca_topic_score_gemma":0.0001308978,"domain_scores_codex":[0.9991051,0.00004304729,0.0003197135,0.0001860119,0.0001461169,0.0002000056],"domain_scores_gemma":[0.9995539,0.00007280125,0.00004453661,0.000242462,0.00004789473,0.00003843685],"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":[0.0000082807,0.00001145868,0.00007617758,0.0002114613,0.00009937576,0.000001943484,0.001286228,0.08952804,0.8964997,0.01181371,0.0000375296,0.0004260869],"study_design_scores_gemma":[0.0001445351,0.000040978,0.0002145327,0.0001073585,0.00002908017,9.43974e-7,0.0003545215,0.09230683,0.9001101,0.006408886,0.0001291114,0.0001531396],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864412,0.005707168,0.006048073,0.0001904671,0.000562838,0.0001809202,0.000007807319,0.0001719435,0.0006895969],"genre_scores_gemma":[0.9986635,0.0004303427,0.0006773661,0.00001746342,0.00000565651,0.000007814201,0.000002708541,0.00002805055,0.0001670888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01222232,"threshold_uncertainty_score":0.6548239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003401759226866046,"score_gpt":0.1905869853545063,"score_spread":0.1871852261276403,"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."}}