{"id":"W3038638301","doi":"10.1101/2020.07.01.20144097","title":"Pulse-Controlled Amplification – a new powerful tool for front-line diagnostics","year":2020,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Yersinia bacterium, plague, ectoparasites research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Yersinia pestis; Polymerase chain reaction; Molecular diagnostics; Nucleic acid; Context (archaeology); Recombinase Polymerase Amplification; Biology; Computational biology; Nanotechnology; Materials science; Genetics; Gene","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":[0.001241109,0.0009848165,0.0006547057,0.001302009,0.0003519303,0.001662325,0.001616588,0.001482917,0.004405152],"category_scores_gemma":[0.001310093,0.0007062686,0.0005372175,0.0006849209,0.001075687,0.001394163,0.001317308,0.002384127,0.003788364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006141915,"about_ca_system_score_gemma":0.0004031244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002687605,"about_ca_topic_score_gemma":0.000185103,"domain_scores_codex":[0.9978331,0.0003336689,0.00007983058,0.0005117581,0.001143351,0.00009830658],"domain_scores_gemma":[0.9990822,0.0003111777,0.0001266059,0.0001740273,0.0002360745,0.00006994607],"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":[0.000123356,0.00005538937,0.0002111537,0.000282053,0.0000290135,0.0001606886,0.0000665523,0.0005249276,0.9050535,0.004852947,0.004438745,0.08420173],"study_design_scores_gemma":[0.00003606852,0.000271755,0.0004667728,0.00009051216,0.00004476748,0.0007862787,0.0000279596,0.01649781,0.8756493,0.003618335,0.1024378,0.00007253254],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02193695,0.01137914,0.9443443,0.001470033,0.001341366,0.0002203957,0.0004953562,0.007462915,0.01134948],"genre_scores_gemma":[0.2435056,0.009628177,0.7180785,0.002219184,0.001141999,0.0007310007,0.001090218,0.0007103893,0.02289496],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004405152,"threshold_uncertainty_score":0.01473665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03214429955011467,"score_gpt":0.3164655150013397,"score_spread":0.2843212154512251,"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."}}