{"id":"W4235580715","doi":"10.1016/j.micron.2004.02.002","title":"Preface","year":2004,"lang":"en","type":"article","venue":"Micron","topic":"Silk-based biomaterials and applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Biocompatibility; Tissue engineering; Biomaterial; Biomedical engineering; Medicine; Dentistry; Materials science","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":[0.0008633515,0.0005710824,0.0004142539,0.001929557,0.001651653,0.001559124,0.0008419064,0.0006660025,0.3779305],"category_scores_gemma":[0.004020083,0.0001580111,0.0004052712,0.0009547749,0.0003168883,0.001324007,0.001422709,0.001471239,0.2386432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001334437,"about_ca_system_score_gemma":0.001691622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003180361,"about_ca_topic_score_gemma":0.006089493,"domain_scores_codex":[0.9995106,0.00004311971,0.00002358047,0.00006856699,0.0003131913,0.00004084689],"domain_scores_gemma":[0.9981526,0.0001910328,0.00005752508,0.0001934629,0.001109117,0.000296328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000038337,0.0000330769,0.0001370048,0.000117305,0.000002273937,0.00006584599,0.00005648635,0.00005608484,0.0005623979,0.00679154,0.9097118,0.08242795],"study_design_scores_gemma":[0.000001999447,0.000008392529,0.0002190477,0.00003783559,0.000001006787,0.00003521039,0.00003119137,0.00001675698,0.0002300725,0.001331205,0.998085,0.000002321438],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.002134725,0.01076494,0.008106667,0.02030225,0.1576014,0.0006610237,0.006689139,0.001429554,0.7923104],"genre_scores_gemma":[0.004798995,0.002954929,0.002202378,0.003169375,0.00957881,0.0001616713,0.002889184,0.000312679,0.973932],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.3779305,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01217159561712505,"score_gpt":0.2453815080202427,"score_spread":0.2332099124031177,"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."}}