{"id":"W2004378568","doi":"10.1002/jbm.a.32737","title":"A cross‐linking model for estimating Young's modulus of artificial bone tissue grown on carbon nanotube scaffold","year":2010,"lang":"en","type":"article","venue":"Journal of Biomedical Materials Research Part A","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; University of Calgary","funders":"","keywords":"Materials science; Representative elementary volume; Modulus; Composite material; Carbon nanotube; Composite number; Scaffold; Elastic modulus; Matrix (chemical analysis); Young's modulus; Microstructure; Biomedical engineering","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":[0.0003498024,0.0005759266,0.000382509,0.0006259542,0.0001754875,0.0003829561,0.00086038,0.001279378,0.001010207],"category_scores_gemma":[0.000900741,0.0003708178,0.0006969891,0.0003651663,0.0002693132,0.0005760926,0.0002579282,0.0003986263,0.0004159537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004445488,"about_ca_system_score_gemma":0.0004142938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003219937,"about_ca_topic_score_gemma":0.001942863,"domain_scores_codex":[0.9997963,0.00004284228,0.00001196738,0.00005928677,0.00007138089,0.0000182503],"domain_scores_gemma":[0.9997469,0.0001304466,0.00005130916,0.00002232566,0.00004144133,0.000007469537],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002256976,0.0000171684,0.0004667876,0.00004320389,0.00001570951,0.00009935109,0.00002531527,0.9714697,0.02078892,0.001547999,0.00008131645,0.005421875],"study_design_scores_gemma":[0.000001729655,0.00001780153,0.0003386349,0.000003647421,0.00000649524,0.00004006288,0.000002752168,0.9969205,0.001869617,0.0004406697,0.0003537141,0.000004394329],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07484688,0.0006186892,0.9202519,0.0001331156,0.00003102441,0.00005778654,0.0002026877,0.000318756,0.003539004],"genre_scores_gemma":[0.9005606,0.001089852,0.08871464,0.0001051746,0.00002903075,0.0003658682,0.0004015128,0.0001143319,0.008619023],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003219937,"threshold_uncertainty_score":0.006402373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04310028891306566,"score_gpt":0.3428833376298665,"score_spread":0.2997830487168008,"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."}}