{"id":"W4403966886","doi":"10.1021/acsomega.4c05509","title":"Conception and Optimization of Extraction-Free Loop-Mediated Isothermal Amplification Detection of Dry Rot Fungus <i>Serpula lacrymans</i>","year":2024,"lang":"en","type":"article","venue":"ACS Omega","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre intégré de santé et de services sociaux de Chaudière-Appalaches; Université Laval","funders":"","keywords":"Dry rot; Loop-mediated isothermal amplification; Fungus; Extraction (chemistry); Biology; Botany; Chemistry; Chromatography; DNA; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001032743,0.000100466,0.0001289208,0.0001341896,0.00002838957,0.00002571989,0.00004860863,0.0001325085,0.00001441106],"category_scores_gemma":[0.00004093336,0.0001016537,0.00003994827,0.0003273368,0.00006164407,0.0002350767,0.00001040925,0.0001204947,0.000006613873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003561154,"about_ca_system_score_gemma":0.000006443984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003695738,"about_ca_topic_score_gemma":0.00001717867,"domain_scores_codex":[0.9993418,0.00001920722,0.0002655549,0.0001443018,0.0001270418,0.0001020855],"domain_scores_gemma":[0.9996426,0.00006202151,0.00004697792,0.0001502559,0.00006231947,0.00003588706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002484244,0.0000222871,0.0001355735,0.0002852036,0.00004691855,8.701759e-7,0.0001009375,0.06895967,0.9054022,0.0002436587,0.00006872848,0.02470908],"study_design_scores_gemma":[0.0003111491,0.00008788343,0.003521837,0.00009077083,0.00006901381,0.000004656471,0.00008828356,0.7574221,0.2370819,0.0002350658,0.0009270868,0.0001602545],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7526,0.001320887,0.2447195,0.00006321396,0.0004301087,0.0001752474,0.00003756248,0.0002787196,0.0003748599],"genre_scores_gemma":[0.9987618,0.0004682495,0.0005413516,0.000008867419,0.00009388377,0.000009224455,0.00002243347,0.00002481964,0.00006934881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6884624,"threshold_uncertainty_score":0.4145316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00741278435948986,"score_gpt":0.2134412357344548,"score_spread":0.206028451374965,"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."}}