{"id":"W4286619379","doi":"","title":"OrganoSilica Nanoparticles for Nanomedicine","year":2021,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Nanoparticle-Based Drug Delivery","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Optina Diagnostics (Canada)","funders":"","keywords":"Nanomedicine; Nanoparticle; Nanotechnology; Materials science; Computer science","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":[0.000550552,0.0006426895,0.0005049673,0.0005254907,0.0003562238,0.001450665,0.0002621666,0.001485026,0.01622652],"category_scores_gemma":[0.0002918051,0.0002261513,0.0002645164,0.0003555639,0.0003897669,0.0008826589,0.0005117601,0.0006963109,0.006669036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005889373,"about_ca_system_score_gemma":0.0003883705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002561007,"about_ca_topic_score_gemma":0.0001929486,"domain_scores_codex":[0.9998118,0.00003449166,0.000008562871,0.00005347198,0.00007041709,0.00002121129],"domain_scores_gemma":[0.9998666,0.00004790855,0.00001278875,0.00001211225,0.00004505444,0.0000155566],"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":[0.0004024977,0.0001192339,0.0002243132,0.00138025,0.00004892174,0.0003533846,0.0001303209,0.002974998,0.7929282,0.07179698,0.01908697,0.110554],"study_design_scores_gemma":[0.00004747846,0.0004685005,0.000492632,0.0001797083,0.00006303019,0.0005257686,0.0001033956,0.008556943,0.5561691,0.02682535,0.4065266,0.00004147279],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1862987,0.2514163,0.1646234,0.01619394,0.009861624,0.0003347487,0.00143209,0.002294991,0.3675442],"genre_scores_gemma":[0.544464,0.1050485,0.0462729,0.002522528,0.003488053,0.0002579009,0.001406281,0.000705671,0.2958341],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01622652,"threshold_uncertainty_score":0.05428314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01472888995609016,"score_gpt":0.2328712090270886,"score_spread":0.2181423190709985,"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."}}