{"id":"W4399097574","doi":"10.1101/2024.05.24.595835","title":"Culture wars: Empirically determining the best approach for plasmid library amplification","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Plasmid; Computer science; Political science; Biology; Genetics","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":[0.01517805,0.001676962,0.001946741,0.002944131,0.00104839,0.003468004,0.001940403,0.002505581,0.001599794],"category_scores_gemma":[0.09914217,0.001003403,0.001022612,0.002879254,0.001345424,0.003288731,0.002309891,0.002257911,0.001523828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001787202,"about_ca_system_score_gemma":0.001445742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002139339,"about_ca_topic_score_gemma":0.003230623,"domain_scores_codex":[0.9890886,0.004496778,0.001504996,0.001691836,0.002721903,0.0004958455],"domain_scores_gemma":[0.9110479,0.07061318,0.004941778,0.004973862,0.007276464,0.001146948],"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":[0.004836347,0.004047773,0.09162182,0.00449747,0.0009963834,0.0006649515,0.001347921,0.1360772,0.4527435,0.004621977,0.006420858,0.2921237],"study_design_scores_gemma":[0.0002151553,0.006282211,0.02811786,0.0006818355,0.001079553,0.001030175,0.00118587,0.289234,0.6539367,0.005340492,0.01256445,0.0003317792],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6101255,0.0111524,0.3597324,0.001990192,0.0004042978,0.002887856,0.001815602,0.003403365,0.008488391],"genre_scores_gemma":[0.6609726,0.002882829,0.3283589,0.001037591,0.0001042214,0.001551586,0.002818194,0.0007530129,0.001521074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01517805,"threshold_uncertainty_score":0.08027017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04259816674674204,"score_gpt":0.2748267019059626,"score_spread":0.2322285351592206,"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."}}