{"id":"W2059614124","doi":"10.1002/mabi.201290036","title":"Macromol. Biosci. 10/2012","year":2012,"lang":"it","type":"article","venue":"Macromolecular Bioscience","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Cover (algebra); Elongation; Biophysics; Stiffness; Substrate (aquarium); Cardiac cell; Chemistry; Nanotechnology; Materials science; Biology; Cell biology; Engineering; Ecology; Composite material; Ultimate tensile strength; Mechanical 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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002763486,0.0008187167,0.000664142,0.0003757064,0.001163812,0.0005724967,0.002918107,0.0005554985,0.0119851],"category_scores_gemma":[0.000290518,0.0007794051,0.0003276842,0.003494875,0.003073741,0.001148748,0.001214252,0.0004747109,0.01834246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004198552,"about_ca_system_score_gemma":0.0004019244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001038688,"about_ca_topic_score_gemma":0.000004207223,"domain_scores_codex":[0.9913737,0.0004258308,0.001029065,0.001619202,0.002022442,0.003529803],"domain_scores_gemma":[0.9953517,0.0001853956,0.0005101537,0.00203212,0.0002579483,0.001662652],"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":[0.0000191033,0.0006814892,0.0002783972,0.00006206574,0.00001836283,0.00002629555,0.0002574942,0.0000010361,0.9734621,0.008594525,0.0150117,0.001587431],"study_design_scores_gemma":[0.0004324571,0.000238477,0.001099565,0.00009566325,0.000104895,0.0002234013,0.00004764345,0.0001826396,0.7883467,0.0007166373,0.2074724,0.001039443],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.567584,0.03305208,0.2588774,0.02273199,0.02249774,0.006562379,0.001813651,0.00236794,0.08451279],"genre_scores_gemma":[0.93628,0.0003751852,0.04231475,0.002467596,0.001064836,0.0001828057,0.00005924005,0.0001331305,0.01712245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.368696,"threshold_uncertainty_score":0.9996393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01172396396485391,"score_gpt":0.2645905665306973,"score_spread":0.2528666025658434,"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."}}