{"id":"W3162928337","doi":"10.1039/d1ra01338f","title":"A biocompatible polypyrrole membrane for biomedical applications","year":2021,"lang":"en","type":"article","venue":"RSC Advances","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Université Laval","funders":"Canadian Institutes of Health Research","keywords":"Polypyrrole; Biocompatible material; Membrane; Materials science; Nanotechnology; Chemistry; Chemical engineering; Biomedical engineering; Polymerization; Medicine; Polymer; Composite material; Biochemistry; Engineering","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":[0.0002163961,0.0006250738,0.0001946195,0.0002510192,0.000177962,0.0002492941,0.0002317571,0.0008921917,0.001097797],"category_scores_gemma":[0.0002097365,0.0001698309,0.0003055152,0.0001755307,0.0001332839,0.0004219263,0.0002347373,0.0004459796,0.0008887067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002104843,"about_ca_system_score_gemma":0.0001606689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001262096,"about_ca_topic_score_gemma":0.0001829365,"domain_scores_codex":[0.9998767,0.00001640088,0.00001039227,0.00003353725,0.00004460906,0.00001838513],"domain_scores_gemma":[0.9999164,0.00001772946,0.00002365572,0.00001091683,0.00001601211,0.00001538789],"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":[0.00000878966,0.000005442094,0.00001959168,0.00006518923,0.00000230894,0.00007946383,0.000003953514,0.00006050578,0.9963132,0.00009980884,0.00005440535,0.003287535],"study_design_scores_gemma":[0.000005263604,0.0001741375,0.0009127933,0.00001238019,0.00001490602,0.0009806606,0.0000106378,0.00112209,0.9870338,0.000125091,0.009599935,0.000008201182],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7303452,0.04975135,0.1982009,0.001787278,0.0009490951,0.0002925986,0.0008446101,0.001503636,0.01632547],"genre_scores_gemma":[0.913815,0.01062499,0.06651623,0.0002561716,0.0001162281,0.0001171041,0.0003102558,0.00005825892,0.008185753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001097797,"threshold_uncertainty_score":0.003672481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01304613303430062,"score_gpt":0.258463938637253,"score_spread":0.2454178056029523,"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."}}