{"id":"W4380738215","doi":"10.1002/adem.202201743","title":"Glass, Ceramic, Polymeric, and Composite Scaffolds with Multiscale Porosity for Bone Tissue Engineering","year":2023,"lang":"en","type":"article","venue":"Advanced Engineering Materials","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Centre québécois sur les matériaux fonctionnels; Natural Sciences and Engineering Research Council of Canada; Faculty of Engineering, McGill University; McGill University","keywords":"Materials science; Porosity; Macropore; Scaffold; Tissue engineering; Composite number; Ceramic; Composite material; Bone tissue; Nanopore; Fabrication; Nanotechnology; Biomedical engineering; Mesoporous material; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002365879,0.0002580202,0.0002619697,0.0007635884,0.0001612603,0.0003767068,0.0001497453,0.0004364327,0.0006933163],"category_scores_gemma":[0.0001631236,0.0001551968,0.0003582542,0.0005406144,0.0003275756,0.0004379761,0.0002956345,0.0003909136,0.0002794714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004037769,"about_ca_system_score_gemma":0.0003073566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003454741,"about_ca_topic_score_gemma":0.001271703,"domain_scores_codex":[0.9998909,0.00001250478,0.00001242222,0.00002137396,0.00005051961,0.00001224234],"domain_scores_gemma":[0.9999249,0.0000321579,0.00002195513,0.000005746853,0.00000872601,0.000006518145],"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":[0.00004059853,0.00007451107,0.0006252825,0.002615317,0.00004081601,0.0002419333,0.00007701015,0.003141762,0.7965959,0.01500436,0.001697549,0.1798449],"study_design_scores_gemma":[0.0000164613,0.0008112112,0.006014737,0.0004577787,0.0001275389,0.003280459,0.0001207345,0.008184775,0.668938,0.008522043,0.3034296,0.00009670795],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1637447,0.7239156,0.08679076,0.00126508,0.0008874391,0.0001298825,0.0003245274,0.0005142779,0.02242766],"genre_scores_gemma":[0.5180587,0.3947549,0.07740325,0.0004122777,0.0005486762,0.0001544469,0.0002923439,0.00009053845,0.008284793],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0007635884,"threshold_uncertainty_score":0.002929628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004775978548190586,"score_gpt":0.2008574085367292,"score_spread":0.1960814299885386,"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."}}