{"id":"W2316160980","doi":"10.1021/sc5000495","title":"Analysis of Porous Electrospun Fibers from Poly(<scp>l</scp>-lactic acid)/Poly(3-hydroxybutyrate-<i>co</i>-3-hydroxyvalerate) Blends","year":2014,"lang":"en","type":"article","venue":"ACS Sustainable Chemistry & Engineering","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Crystallinity; Electrospinning; Thermogravimetric analysis; Differential scanning calorimetry; Materials science; Ultimate tensile strength; Polymer; Porosity; Polymer blend; Fiber; Composite material; Scanning electron microscope; Chemical engineering; Dynamic mechanical analysis; Copolymer","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001864358,0.0003486322,0.0001346462,0.0005142103,0.0001401126,0.0001992055,0.0001380196,0.0002052543,0.0006361167],"category_scores_gemma":[0.0001477609,0.0001213949,0.0002071881,0.0002599058,0.0001651294,0.0002833118,0.0001101969,0.0002059556,0.0001201365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001747662,"about_ca_system_score_gemma":0.00008353841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008608953,"about_ca_topic_score_gemma":0.001507766,"domain_scores_codex":[0.9999171,0.000006399794,0.000006323847,0.00002689305,0.00002958152,0.00001364903],"domain_scores_gemma":[0.9997657,0.00007033223,0.00006890055,0.00001115508,0.00004917652,0.00003468719],"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":[0.00001606087,0.000004357488,0.00008485989,0.000009124932,0.000001614546,0.00001376631,0.000004550853,0.00002676542,0.9994641,0.000005313793,0.000001968334,0.0003674325],"study_design_scores_gemma":[0.000003819452,0.00007985099,0.009225541,0.000006023115,0.00001125238,0.00007178852,0.00002379051,0.0009978828,0.9893467,0.0000160296,0.000214336,0.000003125037],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867108,0.000681647,0.01092445,0.00001848491,0.000009823798,0.00004500574,0.0005399414,0.0001269675,0.0009427528],"genre_scores_gemma":[0.9792573,0.0008525091,0.01691161,0.00003429428,0.00001295598,0.0000864851,0.0007017225,0.00006922456,0.002073996],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008608953,"threshold_uncertainty_score":0.002128065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003041726996695734,"score_gpt":0.2047780443142423,"score_spread":0.2017363173175466,"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."}}