{"id":"W4385938096","doi":"10.21203/rs.3.rs-3251963/v1","title":"Thrombolytic therapy based on lyophilized platelet-derived nanocarriers for ischemic stroke","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"EuroNanoMed III; Centro Singular de Investigación de Galicia; Xunta de Galicia; Agencia Estatal de Investigación; Agence Nationale de la Recherche; Instituto de Salud Carlos III","keywords":"Nanocarriers; Nanomedicine; Medicine; Tissue plasminogen activator; Pharmacology; Thrombus; Thrombolytic drug; Biocompatibility; Platelet; Ischemic stroke; Nanotechnology; Drug; Materials science; Ischemia; Thrombolysis; Immunology; Nanoparticle; Internal medicine","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":[0.0001945423,0.0002234684,0.0002347465,0.0001735706,0.00008974487,0.000206236,0.0001401033,0.0002391041,0.000619872],"category_scores_gemma":[0.0002245337,0.00006509344,0.0002477971,0.0001069115,0.0001886936,0.0002201899,0.0001739515,0.0003156499,0.0002243856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001549042,"about_ca_system_score_gemma":0.0001686103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002262701,"about_ca_topic_score_gemma":0.0002222741,"domain_scores_codex":[0.9999228,0.00001705235,0.000007685884,0.00001870286,0.00002361149,0.00001026399],"domain_scores_gemma":[0.9999388,0.00001202464,0.0000213546,0.000008489489,0.00001259886,0.000006646911],"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":[0.0001256726,0.00004345561,0.0001506783,0.0001123479,0.00002058317,0.00008066905,0.00002383115,0.0003618601,0.9905106,0.0001925752,0.000182922,0.008194835],"study_design_scores_gemma":[0.00004709285,0.000832938,0.001222675,0.00001807707,0.00005841081,0.0003587519,0.00001259377,0.002842451,0.9897363,0.0000862521,0.004774629,0.000009885414],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9698811,0.007993666,0.02003372,0.0002034545,0.00009596992,0.0001115247,0.0001866836,0.0001509522,0.001342887],"genre_scores_gemma":[0.9865166,0.00294172,0.008932451,0.0001162747,0.00003366962,0.00008220939,0.0002223013,0.00003478741,0.001120078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000619872,"threshold_uncertainty_score":0.002073646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07652760228335963,"score_gpt":0.390380505952185,"score_spread":0.3138529036688254,"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."}}