{"id":"W2088714216","doi":"10.1016/j.biomaterials.2003.12.038","title":"Calcium phosphate sol–gel-derived thin films on porous-surfaced implants for enhanced osteoconductivity. Part I: Synthesis and characterization","year":2004,"lang":"en","type":"article","venue":"Biomaterials","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":96,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Materials science; Calcium nitrate; Nanocrystalline material; Scanning electron microscope; Chemical engineering; Transmission electron microscopy; Thin film; Fourier transform infrared spectroscopy; Ammonium phosphate; Calcium; X-ray photoelectron spectroscopy; Phosphate; Infrared spectroscopy; Nuclear chemistry; Inorganic chemistry; Nanotechnology; Composite material; Organic chemistry; Chemistry; Metallurgy","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":[0.0002344649,0.0003888686,0.0002270492,0.0003778904,0.0001627671,0.0003008701,0.0003663448,0.0004502469,0.0009439079],"category_scores_gemma":[0.000293124,0.0003855648,0.0002342191,0.0002092848,0.0002645628,0.0002385219,0.0001776438,0.0003311179,0.0002789358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002775807,"about_ca_system_score_gemma":0.0001696416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004530112,"about_ca_topic_score_gemma":0.0009083343,"domain_scores_codex":[0.9998645,0.00001492099,0.00001266098,0.00002425387,0.00005866251,0.00002509595],"domain_scores_gemma":[0.9998606,0.00005045732,0.00003419193,0.00001349833,0.00002833575,0.0000127915],"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":[0.00001913737,0.000005781546,0.0000108089,0.00002893595,0.000002165832,0.00001148387,0.000005931202,0.00003861508,0.9992206,0.00001735954,0.00001915739,0.0006199873],"study_design_scores_gemma":[0.00000847032,0.00006380172,0.0003860898,0.000004771471,0.000008495876,0.00002748829,0.000006166221,0.0003679669,0.9985548,0.000013274,0.0005561937,0.000002517364],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9762453,0.006854801,0.01220198,0.0001501617,0.0001268115,0.0001371122,0.0004571979,0.0001651829,0.003661443],"genre_scores_gemma":[0.9768852,0.003343168,0.01494477,0.00008059766,0.00003438148,0.00011952,0.0003880133,0.00007733532,0.004127033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009439079,"threshold_uncertainty_score":0.003157675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02106477016786349,"score_gpt":0.231560229623246,"score_spread":0.2104954594553826,"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."}}