{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007170262,0.0006085702,0.0003991711,0.0002879935,0.0002371005,0.0006469986,0.0007427594,0.0004505487,0.0005707431],"category_scores_gemma":[0.0005151984,0.0003042519,0.0004125218,0.0002051637,0.0005404714,0.0003218751,0.0003818958,0.0004523952,0.0005087943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005020607,"about_ca_system_score_gemma":0.0006272478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007145106,"about_ca_topic_score_gemma":0.0009291109,"domain_scores_codex":[0.9992515,0.00009515455,0.00003848418,0.0002408133,0.000291873,0.000082102],"domain_scores_gemma":[0.9997731,0.00005749048,0.00007467194,0.00002296311,0.00005256579,0.00001917037],"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":[0.00003483679,0.00003885969,0.0002845934,0.00008949041,0.000003805702,0.0000334063,0.00005402186,0.0009365939,0.9921769,0.000599298,0.00004484737,0.005703246],"study_design_scores_gemma":[0.000006738284,0.0001839458,0.0006208773,0.00000670077,0.000007103904,0.00008119326,0.00002273575,0.005989751,0.9913648,0.0001082702,0.001595031,0.00001280691],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5089564,0.00115965,0.4823349,0.0002202071,0.00008554954,0.0009464298,0.0004960122,0.001122702,0.004678202],"genre_scores_gemma":[0.7500995,0.000851473,0.2440186,0.00009214579,0.00003174046,0.0007444449,0.0007050484,0.00009671451,0.003360275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007427594,"threshold_uncertainty_score":0.003792048,"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."}}