{"id":"W2123651842","doi":"10.1002/mabi.200400044","title":"Porous‐Conductive Chitosan Scaffolds for Tissue Engineering, 1","year":2004,"lang":"en","type":"article","venue":"Macromolecular Bioscience","topic":"Conducting polymers and applications","field":"Materials Science","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Polypyrrole; Chitosan; Materials science; Miscibility; Porosity; Composite material; Conductivity; Ultimate tensile strength; Conductive polymer; Chemical engineering; Dopant; Tissue engineering; Polymer; Polymer chemistry; Doping; Chemistry; Biomedical engineering; Polymerization","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000170063,0.0007457734,0.00024023,0.0004994712,0.0001885294,0.0004392308,0.0003382128,0.0006261984,0.001309419],"category_scores_gemma":[0.0002155033,0.0001963559,0.0003037204,0.00027435,0.0002459344,0.0003833223,0.0002046922,0.0003660495,0.0005274068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004892831,"about_ca_system_score_gemma":0.0003415867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009452565,"about_ca_topic_score_gemma":0.002099023,"domain_scores_codex":[0.9998937,0.000008625891,0.00000772205,0.0000258186,0.00004158155,0.00002254016],"domain_scores_gemma":[0.9997876,0.00004841166,0.0000694175,0.00001547626,0.0000373309,0.00004179731],"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":[0.00002324675,0.00001475468,0.00004229239,0.000105715,0.000003856873,0.00006761155,0.000004469347,0.0001357244,0.9960772,0.0001593969,0.0001440592,0.003221613],"study_design_scores_gemma":[0.00001289468,0.0001875225,0.001224866,0.00001445926,0.00002377351,0.0004955254,0.000009402728,0.001157759,0.9895871,0.0001060506,0.007169148,0.00001148792],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7887208,0.04891444,0.1314869,0.001053863,0.0007095204,0.0004558268,0.003208918,0.00213181,0.02331782],"genre_scores_gemma":[0.9045734,0.01343063,0.0707041,0.000311485,0.0001204973,0.0001991805,0.001602623,0.00009086854,0.008967227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001309419,"threshold_uncertainty_score":0.004380465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01024639160497989,"score_gpt":0.2557448152372379,"score_spread":0.245498423632258,"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."}}