{"id":"W1969907163","doi":"10.1007/s10856-008-3647-3","title":"Characterization of sintered titanium/hydroxyapatite biocomposite using FTIR spectroscopy","year":2008,"lang":"en","type":"article","venue":"Journal of Materials Science Materials in Medicine","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":106,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada; Western University","funders":"","keywords":"Biocomposite; Fourier transform infrared spectroscopy; Titanium; Materials science; Characterization (materials science); Spectroscopy; Chemical engineering; Nuclear chemistry; Composite material; Chemistry; Nanotechnology; Metallurgy; Composite number; Physics; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003346277,0.0003018944,0.0002891008,0.0005046057,0.00020233,0.0003101527,0.0002382042,0.0004985908,0.001664978],"category_scores_gemma":[0.0004535094,0.0003042018,0.0002635751,0.0004670637,0.000320894,0.0002630078,0.0001330683,0.00032245,0.0003275737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001402844,"about_ca_system_score_gemma":0.0002462455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006678187,"about_ca_topic_score_gemma":0.001130618,"domain_scores_codex":[0.9997657,0.00001552536,0.00002962545,0.00004095375,0.0001174903,0.00003066604],"domain_scores_gemma":[0.9996399,0.0001272294,0.0000665345,0.00003065639,0.0001108715,0.00002488195],"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":[0.0000614681,0.000006777453,0.0001303023,0.00002593914,0.000003080453,0.00005286954,0.00002329451,0.00007247121,0.9984427,0.00001461673,0.00001069039,0.001155838],"study_design_scores_gemma":[0.00000854847,0.00008149858,0.003542206,0.000004445161,0.00001508117,0.0000858872,0.00004748713,0.0007019191,0.9949296,0.00001743976,0.0005601292,0.000005777172],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920617,0.001073626,0.004962037,0.00004235255,0.00004413836,0.00002997134,0.0002353012,0.00005776707,0.001493155],"genre_scores_gemma":[0.9905875,0.0004324214,0.006241592,0.00005291154,0.00001029374,0.00003747667,0.0002850671,0.00004029534,0.002312358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001664978,"threshold_uncertainty_score":0.005569875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01934414530943422,"score_gpt":0.2567068938100332,"score_spread":0.237362748500599,"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."}}