{"id":"W4398206465","doi":"10.18280/acsm.480212","title":"Enhancing Porous Alumina Ceramics for Bioapplications Through Targeted Surface Modification Techniques","year":2024,"lang":"en","type":"article","venue":"Annales de Chimie Science des Matériaux","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Materials science; Surface modification; Nanotechnology; Porosity; Ceramic; Chemical engineering; Metallurgy; Composite material; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001543784,0.0003335979,0.000209124,0.0002678654,0.0001161673,0.0002812782,0.00018862,0.0003200163,0.0005002679],"category_scores_gemma":[0.0001536094,0.0001987421,0.0005019265,0.0001726288,0.0001875787,0.0002608683,0.0002305782,0.00038344,0.0002178778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001606593,"about_ca_system_score_gemma":0.0001430682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000231262,"about_ca_topic_score_gemma":0.000503762,"domain_scores_codex":[0.9998653,0.000009657676,0.000009743462,0.00002136933,0.00005995081,0.00003388158],"domain_scores_gemma":[0.9999082,0.000015034,0.00003742703,0.000007013724,0.00002271125,0.00000949107],"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":[0.00001121189,0.000005797808,0.00004063917,0.00004774592,0.000003489635,0.00002475873,0.000008814983,0.00006476395,0.9983826,0.0000394766,0.0000178653,0.001352936],"study_design_scores_gemma":[0.0000049046,0.0001353157,0.000934388,0.00000509241,0.00001856482,0.0001753938,0.00002044736,0.0007777475,0.9956922,0.00003957119,0.002189263,0.000007231972],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9543442,0.006630019,0.03560299,0.0001349498,0.0001105328,0.0001212668,0.0002236627,0.0003562827,0.002476104],"genre_scores_gemma":[0.9825563,0.002368749,0.0135497,0.00007039096,0.00001978107,0.00008753807,0.0001224899,0.00002986419,0.001195125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005002679,"threshold_uncertainty_score":0.00167352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03301083004612004,"score_gpt":0.2938540847307095,"score_spread":0.2608432546845894,"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."}}