{"id":"W2068534010","doi":"10.1139/w09-071","title":"Identification and application of AFLP-derived genetic markers for quantitative PCR-based tracking of <i>Bacillus</i> and <i>Paenibacillus</i> spp. released in soil","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Microbiology","topic":"Bacillus and Francisella bacterial research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Environment and Climate Change Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Paenibacillus polymyxa; Biology; Paenibacillus; Bacillus licheniformis; Microbiology; Bacillus (shape); Bacillus subtilis; Bacillus thuringiensis; Bacillus amyloliquefaciens; HaeIII; Bacillaceae; Amplicon; Polymerase chain reaction; Genetics; Gene; Bacteria; Restriction fragment length polymorphism; 16S ribosomal RNA","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0005772978,0.0004821024,0.0003634667,0.0005267587,0.0001576638,0.0007639676,0.0004280709,0.0006772688,0.0003203398],"category_scores_gemma":[0.001217954,0.0002704281,0.0002838257,0.000409553,0.0003277086,0.000483392,0.0002825295,0.0008747602,0.000401782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002060011,"about_ca_system_score_gemma":0.0002326256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004405065,"about_ca_topic_score_gemma":0.000586369,"domain_scores_codex":[0.9993377,0.0001114821,0.00005108753,0.00026733,0.0001781559,0.00005420225],"domain_scores_gemma":[0.9989962,0.0003251834,0.0003186146,0.00007032731,0.0002188531,0.00007083807],"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":[0.00002712459,0.00002172235,0.001121138,0.00006066175,0.000003438407,0.00001552941,0.00002066871,0.000117778,0.9908793,0.00004081012,0.00001853806,0.00767331],"study_design_scores_gemma":[0.000007269066,0.0003785487,0.007254845,0.00002338682,0.00003446164,0.0003228802,0.00008414828,0.005561388,0.9843986,0.0001497095,0.001767834,0.00001690492],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7487541,0.004601207,0.2423142,0.0003110213,0.0001021489,0.0002334847,0.001109948,0.0006488809,0.001924945],"genre_scores_gemma":[0.6767116,0.003501685,0.3160029,0.0002277112,0.00004675532,0.0003170283,0.001273801,0.00009193495,0.001826574],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0007639676,"threshold_uncertainty_score":0.003053069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01070980396635164,"score_gpt":0.2417172880175923,"score_spread":0.2310074840512406,"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."}}