{"id":"W2085460035","doi":"10.2320/matertrans.46.1633","title":"Hydroxyapatite Coatings on a 3D Porous Surface Using Thermal Substrate Method","year":2005,"lang":"en","type":"article","venue":"MATERIALS TRANSACTIONS","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Japan Society for the Promotion of Science","keywords":"Materials science; Coating; Substrate (aquarium); Porosity; Sintering; Titanium; Aqueous solution; Chemical engineering; Composite material; Base (topology); 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":[0.0001806021,0.0002790478,0.000207646,0.0001849215,0.0001134057,0.0002378268,0.0003418043,0.0002693512,0.001010476],"category_scores_gemma":[0.0002063782,0.0003377534,0.0002949121,0.0001265435,0.0001582019,0.0001492557,0.0001924808,0.0003936307,0.0003528802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001636762,"about_ca_system_score_gemma":0.0001480278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006003613,"about_ca_topic_score_gemma":0.001231852,"domain_scores_codex":[0.9998515,0.00001047763,0.00001065725,0.00003093386,0.00007402461,0.00002243599],"domain_scores_gemma":[0.999872,0.00003895828,0.00002191711,0.0000254435,0.00002630496,0.00001539234],"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":[0.000008105538,0.000003241255,0.00004386156,0.00002287553,0.000002699591,0.00002580533,0.000006349629,0.0001177372,0.998889,0.00004508472,0.00001704997,0.0008181492],"study_design_scores_gemma":[0.000008153836,0.00004974304,0.001315524,0.000002551444,0.000006928979,0.0003251176,0.000008695687,0.002745498,0.9939625,0.00003766425,0.001530559,0.000007110777],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9060302,0.001531898,0.08680665,0.00009648743,0.00008867645,0.0001025111,0.000379351,0.0004760764,0.004488005],"genre_scores_gemma":[0.9378596,0.001073165,0.05721186,0.00004816309,0.00001663174,0.00009041248,0.0004769627,0.00005688209,0.003166319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001010476,"threshold_uncertainty_score":0.003380358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01563545298539935,"score_gpt":0.2411181438383408,"score_spread":0.2254826908529415,"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."}}