{"id":"W2034624887","doi":"10.1016/j.msec.2011.02.003","title":"Biological materials science: An emerging art","year":2011,"lang":"en","type":"article","venue":"Materials Science and Engineering C","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Engineering ethics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002025589,0.0001321517,0.0001353457,0.0001576963,0.0002057055,0.000200807,0.0005044484,0.00008403305,0.00012291],"category_scores_gemma":[0.0004083543,0.0001004609,0.00001255302,0.0002512457,0.001072986,0.0000350391,0.0003463399,0.0000377941,0.00003262276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001539636,"about_ca_system_score_gemma":0.0001419081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000015473,"about_ca_topic_score_gemma":8.774239e-7,"domain_scores_codex":[0.9984772,0.00001305943,0.0002281414,0.0003525564,0.0003828363,0.0005461928],"domain_scores_gemma":[0.9992557,0.000003443419,0.00003658051,0.0002734376,0.0001493971,0.0002814456],"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":[0.00001520913,0.00001663146,0.00006955241,0.00001866641,0.000002134631,0.000001306812,0.000125017,0.000001629613,0.9988044,0.0001609043,0.00006248227,0.0007220664],"study_design_scores_gemma":[0.0001089736,0.0002931539,0.009255223,0.00001069426,0.000002134295,0.00001539234,0.00008295621,0.00007836379,0.9874891,0.00003973201,0.002462296,0.0001619925],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983735,0.00002735876,0.000308665,0.00002786732,0.0005740195,0.0001033238,0.00001402852,0.00002486351,0.0005463784],"genre_scores_gemma":[0.9967375,0.0001310258,0.002794168,0.00007291943,0.0001778244,0.000009813598,0.00001592205,0.000007887689,0.00005295469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01131531,"threshold_uncertainty_score":0.4096676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03231116098613216,"score_gpt":0.2781081811630706,"score_spread":0.2457970201769385,"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."}}