{"id":"W4388153933","doi":"10.17504/protocols.io.kxygx9opzg8j/v1","title":"Resource 4: rEV Serial Dilution v1","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"National Institutes of Health","keywords":"Computer science; Leverage (statistics); Standardization; Merge (version control); Pipeline (software); Data mining; Software; Detector; Metadata; Artificial intelligence; Information retrieval","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006453065,0.003542369,0.003630344,0.004929068,0.001377912,0.00464546,0.008301355,0.003344727,0.5838757],"category_scores_gemma":[0.01964601,0.003934873,0.002199971,0.004575228,0.00101511,0.003288752,0.004936338,0.003788458,0.5650906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001698481,"about_ca_system_score_gemma":0.003316503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002257371,"about_ca_topic_score_gemma":0.00267105,"domain_scores_codex":[0.9956048,0.0007972675,0.0006224903,0.0007933606,0.001710436,0.0004716213],"domain_scores_gemma":[0.9907827,0.002570101,0.0003691187,0.003790607,0.00203477,0.000452785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007429096,0.0002416701,0.00097358,0.00304379,0.0001330594,0.0002499389,0.0001939703,0.001050801,0.01835976,0.007746003,0.8716487,0.09561579],"study_design_scores_gemma":[0.0002759847,0.0001211034,0.0007152034,0.0004354813,0.00006136847,0.0003441509,0.00004085457,0.001624189,0.02159849,0.00591371,0.9687599,0.0001095366],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"other","genre_scores_codex":[0.002228777,0.002501935,0.1338754,0.001385838,0.001457877,0.002524478,0.3457896,0.4101128,0.1001234],"genre_scores_gemma":[0.01298965,0.003827353,0.1705112,0.002199917,0.0004182143,0.009176621,0.3598482,0.3151244,0.1259044],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5838757,"threshold_uncertainty_score":0.5935508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.020991547487397,"score_gpt":0.2736718861752233,"score_spread":0.2526803386878263,"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."}}