{"id":"W4391572691","doi":"10.20944/preprints202402.0284.v1","title":"Delivery of Therapeutics Using Bacteriophage Vectors","year":2024,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Bacteriophages and microbial interactions","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Bacteriophage; Virology; Computational biology; Biology; Computer science; Genetics; Escherichia coli","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":[0.0004534499,0.000608304,0.0004561909,0.0005124682,0.0002888583,0.001148891,0.0004125577,0.0007651493,0.001264595],"category_scores_gemma":[0.0002847665,0.0003166473,0.0003939361,0.0003302267,0.0003164559,0.0005038233,0.000450166,0.0009881919,0.001052732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006785716,"about_ca_system_score_gemma":0.0004061797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005109132,"about_ca_topic_score_gemma":0.000376804,"domain_scores_codex":[0.9996049,0.00005450868,0.00003453382,0.00008380605,0.0001645138,0.00005770225],"domain_scores_gemma":[0.9999204,0.00001359547,0.00002191756,0.000009749492,0.00001654891,0.00001782944],"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":[0.00009139705,0.00008021224,0.00009724378,0.0002663018,0.00002040217,0.0001303369,0.00005369037,0.000290554,0.9808168,0.001830742,0.0007057186,0.01561657],"study_design_scores_gemma":[0.00005240122,0.0006599434,0.0004366923,0.00005203689,0.00003383245,0.000338947,0.00002027781,0.001779542,0.9385429,0.0004160751,0.05764486,0.00002255305],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.561176,0.04573064,0.3511815,0.001176254,0.001802232,0.002681629,0.002438105,0.004916877,0.02889678],"genre_scores_gemma":[0.789969,0.02702229,0.1401886,0.0005796456,0.0001952609,0.001578051,0.002274457,0.000328744,0.03786407],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001264595,"threshold_uncertainty_score":0.004923403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1228592183312554,"score_gpt":0.3451083106340546,"score_spread":0.2222490923027992,"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."}}