{"id":"W4360613147","doi":"10.1002/0471440264.pst689","title":"Polymer Nanofibers","year":2023,"lang":"en","type":"other","venue":"Encyclopedia of Polymer Science and Technology","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Nanofiber; Materials science; Nanotechnology; Polymer; Computer science; Composite material","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0004103813,0.0002753082,0.0004294277,0.001652789,0.0001613154,0.00002383353,0.001276719,0.0005211503,0.0007907144],"category_scores_gemma":[0.00007169994,0.0002395896,0.00003607665,0.003582554,0.006145521,0.0000942132,0.0005004007,0.0001934552,0.0004456723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000505783,"about_ca_system_score_gemma":0.0005029797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003342643,"about_ca_topic_score_gemma":0.0001387462,"domain_scores_codex":[0.9974014,0.00001467483,0.000351621,0.0008284106,0.0007326955,0.0006712065],"domain_scores_gemma":[0.9985853,0.00006678067,0.0003103176,0.0007898502,0.00008971696,0.0001579683],"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":[0.000003345022,0.00007638909,0.0003670082,0.00005541809,0.00001957322,0.00001076703,0.0000799824,1.809768e-9,0.6220102,0.05626913,0.2690545,0.05205366],"study_design_scores_gemma":[0.0001610233,0.00009377367,0.00002016658,0.00009047088,0.00003232822,0.00001713082,0.00005357708,0.000001193094,0.7415817,0.001281478,0.2563373,0.000329833],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003278053,0.02593507,0.0002766206,0.007351076,0.002761163,0.0007753456,0.0001812926,0.004381367,0.95506],"genre_scores_gemma":[0.003395281,0.006669683,0.005276145,0.000245975,0.0003731245,0.0002695155,0.000006826588,0.0007696105,0.9829938],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1195715,"threshold_uncertainty_score":0.9965592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004300500178780021,"score_gpt":0.23843501015241,"score_spread":0.23413450997363,"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."}}