{"id":"W4395080578","doi":"10.37349/ebmx.2024.00007","title":"Effects of cold plasma treatment on the biological performances of decellularized bovine pericardium extracellular matrix-based films for biomedical applications","year":2024,"lang":"en","type":"article","venue":"Exploration of BioMat-X","topic":"Tissue Engineering and Regenerative Medicine","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Plasmionique (Canada); Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Decellularization; Extracellular matrix; Matrix (chemical analysis); Biomedical engineering; Materials science; Pericardium; Plasma; Chemistry; Biophysics; Internal medicine; Medicine; Biology; Biochemistry; Chromatography","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":[0.0002244504,0.0004540685,0.0002140234,0.0001395046,0.0001334715,0.0001835263,0.0001624344,0.0003233215,0.0008883516],"category_scores_gemma":[0.0002878518,0.0001193078,0.0002142243,0.0001572763,0.0001247454,0.0001817032,0.0001296894,0.000274506,0.0001564134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001449999,"about_ca_system_score_gemma":0.00007442127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003981531,"about_ca_topic_score_gemma":0.0004980849,"domain_scores_codex":[0.9998399,0.00002698253,0.00001551658,0.00003867503,0.00004777241,0.00003109096],"domain_scores_gemma":[0.9998434,0.00004752175,0.00004865454,0.00001012841,0.0000377187,0.00001266429],"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":[0.00005516808,0.000008073459,0.00006885568,0.00004785983,0.000004498822,0.00003615707,0.00001841973,0.00002451204,0.9989175,0.000004621902,0.00001418187,0.000800203],"study_design_scores_gemma":[0.000006817361,0.0002976689,0.00291096,0.000007776913,0.00001971411,0.0001144902,0.00002600669,0.0002695129,0.995522,0.000008050898,0.0008108871,0.000006150531],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909905,0.006869288,0.001131678,0.0000486591,0.00003868343,0.00001814476,0.0001318865,0.00002623475,0.0007449639],"genre_scores_gemma":[0.9953062,0.001944879,0.001610083,0.0000604172,0.00001288938,0.00003315917,0.0001939426,0.00001533082,0.0008230028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008883516,"threshold_uncertainty_score":0.002971828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03318082236472041,"score_gpt":0.2928087931456347,"score_spread":0.2596279707809143,"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."}}