{"id":"W2010468998","doi":"10.1163/092050610x534230","title":"Inorganic/Organic Biocomposite Cryogels for Regeneration of Bony Tissues","year":2011,"lang":"en","type":"article","venue":"Journal of Biomaterials Science Polymer Edition","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Indian Institute of Technology Kanpur; Department of Biotechnology, Ministry of Science and Technology, India; UK-India Education and Research Initiative; Petroleum Technology Alliance Canada","keywords":"Biocomposite; Biocompatibility; Materials science; Simulated body fluid; Bone tissue; Scanning electron microscope; Tissue engineering; Biomedical engineering; Chemical engineering; Chemistry; Composite material; Composite number","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001495435,0.0003778056,0.0001108329,0.0002010111,0.00007025876,0.0001451655,0.0001257388,0.0002129574,0.0004772664],"category_scores_gemma":[0.00008238891,0.0001148307,0.0001862231,0.00006440707,0.0001555266,0.000164108,0.0001589924,0.0001805325,0.0001326558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001662787,"about_ca_system_score_gemma":0.0001984364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003789596,"about_ca_topic_score_gemma":0.0008503169,"domain_scores_codex":[0.9999303,0.000007838229,0.000006194752,0.00001377738,0.00002608844,0.00001585661],"domain_scores_gemma":[0.9999442,0.00001094585,0.00002004084,0.000002921775,0.00001151523,0.00001027387],"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":[0.00001773892,0.000008161447,0.0000412336,0.00008898418,0.000003724487,0.00003136821,0.000008126543,0.0001059647,0.9977064,0.00006432884,0.00002013575,0.001903907],"study_design_scores_gemma":[0.000006034157,0.0001777378,0.0008279289,0.00001531465,0.00001615231,0.0002460593,0.00001609811,0.0005109054,0.9944836,0.00003942284,0.003655693,0.000004946182],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.947945,0.01994713,0.02809341,0.000180602,0.0001324908,0.00006876387,0.0002118816,0.0001499525,0.003270732],"genre_scores_gemma":[0.9765531,0.006149027,0.0138771,0.000140484,0.0000287103,0.00006061178,0.0001811172,0.00002987253,0.00297997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004772664,"threshold_uncertainty_score":0.00159657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01634177247793962,"score_gpt":0.2273351394978196,"score_spread":0.2109933670198799,"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."}}