{"id":"W2134251998","doi":"10.1002/jbm.a.31025","title":"Porous polylactide/chitosan scaffolds for tissue engineering","year":2006,"lang":"en","type":"article","venue":"Journal of Biomedical Materials Research Part A","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Materials science; Chitosan; Porosity; Swelling; Tissue engineering; Composite material; Solvent; Chemical engineering; Toughness; Biomedical engineering; Organic chemistry; Chemistry","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004402671,0.0002032243,0.0005459123,0.0005211561,0.0002500528,0.0002433424,0.0008590684,0.0002559116,0.0009557437],"category_scores_gemma":[0.0004559632,0.0001569433,0.00009795826,0.0006693698,0.0005653302,0.0002182317,0.0001589646,0.0002028744,0.000106595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001405812,"about_ca_system_score_gemma":0.0003547926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008952898,"about_ca_topic_score_gemma":0.000002928655,"domain_scores_codex":[0.9954346,0.0002162445,0.001252465,0.0003219677,0.001763076,0.001011582],"domain_scores_gemma":[0.9976275,0.0008126879,0.000369616,0.0003352014,0.0003867318,0.0004682434],"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":[0.0001263516,0.0002683262,0.000006103794,0.00009851319,0.00001483651,0.00003495286,0.00002005007,0.000001542959,0.9558947,0.001600849,0.04112294,0.0008108315],"study_design_scores_gemma":[0.000651328,0.0007216089,0.000111248,0.0001085448,0.00001600781,0.0001704805,0.0000139653,0.00001198607,0.8641441,0.00250697,0.131394,0.0001497548],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9758462,0.0004982332,0.01378182,0.006307878,0.002283519,0.0007734802,0.0002003162,0.00008624983,0.0002222702],"genre_scores_gemma":[0.9579121,0.00007704736,0.03506282,0.00008542406,0.00626422,0.0001587827,0.00004867929,0.0000617244,0.0003291716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09175058,"threshold_uncertainty_score":0.9999575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02461934139840848,"score_gpt":0.3449243105745339,"score_spread":0.3203049691761254,"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."}}