{"id":"W3030321835","doi":"10.1016/j.matlet.2020.128057","title":"Composite dip coating improves biocompatibility of porous metallic scaffolds","year":2020,"lang":"en","type":"article","venue":"Materials Letters","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Biocompatibility; Composite number; Porosity; Coating; Composite material; Selective laser melting; Scanning electron microscope; Substrate (aquarium); Energy-dispersive X-ray spectroscopy; Microstructure; Metallurgy","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"],"consensus_categories":[],"category_scores_codex":[0.000212833,0.0002703984,0.0005901402,0.00005279941,0.00002828422,0.00007647368,0.0002485349,0.00007145049,0.0002082319],"category_scores_gemma":[0.00002592693,0.0002797119,0.00005794815,0.0001332939,0.00005564655,0.0001423091,0.00007755607,0.00004605331,0.00006702033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003510213,"about_ca_system_score_gemma":0.000004673328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006170737,"about_ca_topic_score_gemma":6.357147e-7,"domain_scores_codex":[0.9985965,0.00006245061,0.0006092698,0.0002451272,0.0001756876,0.0003109744],"domain_scores_gemma":[0.9994488,0.00004183091,0.0001013403,0.0002864519,0.0000195415,0.0001020252],"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":[0.00001714563,0.000009186428,0.00006050534,0.0006497528,0.0000644326,0.000007206776,0.0003746607,0.003468189,0.9947653,0.00003008322,0.0003889202,0.0001645577],"study_design_scores_gemma":[0.0002807894,0.00003317916,0.002591956,0.00003865751,0.00003455739,0.000003442043,0.00001083156,0.0005765935,0.9959148,0.00001001499,0.0002376069,0.0002676311],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966237,0.00008593363,0.0009880104,0.0004555922,0.0007548745,0.0002938218,0.00009350943,0.0006550181,0.0000495243],"genre_scores_gemma":[0.9957881,0.000004663609,0.003547986,0.0002893569,0.0002311283,0.00002123933,0.00003617861,0.00007851616,0.000002843458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002891595,"threshold_uncertainty_score":0.9999655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01240970157961333,"score_gpt":0.1997044210052589,"score_spread":0.1872947194256456,"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."}}