{"id":"W2966876355","doi":"10.1016/j.ceramint.2019.08.023","title":"Effect of thermal treatment on the physico-chemical properties of bioactive hydroxyapatite derived from caprine bone bio-waste","year":2019,"lang":"en","type":"article","venue":"Ceramics International","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":56,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Indian Institute of Technology Mandi; Institute of Infection and Immunity; Indian Institute of Technology Guwahati; National Institute of Technology, Silchar; North Carolina Central University; Ministry of Education, India; Department of Science and Technology, Ministry of Science and Technology, India","keywords":"Calcination; Materials science; Crystallinity; Crystallite; Chemical engineering; Thermal treatment; Porosity; Sintering; Mineralogy; Apatite; Simulated body fluid; Composite material; Scanning electron microscope; Metallurgy; Chemistry; Organic chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006039641,0.0001540759,0.0002307758,0.00004627256,0.000007075415,0.00001210021,0.0001546198,0.00004670915,0.0001511564],"category_scores_gemma":[0.00001800501,0.0001024632,0.00007123048,0.00003729662,0.0000438821,0.0000479759,0.00003322532,0.0000674773,0.00003687615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001159123,"about_ca_system_score_gemma":0.000006653232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007974885,"about_ca_topic_score_gemma":8.914491e-7,"domain_scores_codex":[0.9994039,0.00002615616,0.0001954027,0.0001154343,0.0001628531,0.00009627406],"domain_scores_gemma":[0.999573,0.0001207663,0.00006037624,0.0001982131,0.00003090778,0.000016758],"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":[0.00009551069,0.00003629684,0.0001231238,0.00003511442,0.0002388072,6.587583e-7,0.0003680913,0.02417369,0.9733111,0.0002255196,0.000004538354,0.001387599],"study_design_scores_gemma":[0.0004681537,0.0001255084,0.0004582741,0.00009614234,0.00001777723,6.372606e-7,0.00001448399,0.04278845,0.955891,0.00001641927,0.00003578883,0.00008734138],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981762,0.00006626392,0.00005895287,0.00004037733,0.0005807966,0.0002420613,0.00009538976,0.00005065853,0.0006893684],"genre_scores_gemma":[0.9996354,0.0000145381,0.00006965538,0.000004554032,0.0001210633,0.00002620699,0.00003286773,0.0000297793,0.00006593545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01861476,"threshold_uncertainty_score":0.4178328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007887575918089937,"score_gpt":0.1985904913009346,"score_spread":0.1907029153828446,"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."}}