{"id":"W4409558016","doi":"10.3390/microorganisms13040923","title":"Impact of Pre-Extraction Methods on Apple Blossom Microbiome Analysis","year":2025,"lang":"en","type":"article","venue":"Microorganisms","topic":"Plant Pathogens and Fungal Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Sonication; Biology; DNA extraction; Extraction (chemistry); Microbiome; Bacteria; Microbiology; Nucleic acid; Microbial population biology; Food science; Chromatography; Chemistry; Biochemistry; Polymerase chain reaction; Bioinformatics; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001308206,0.0001446626,0.0002139109,0.000182727,0.00005237745,0.00001723379,0.0001445704,0.0001282065,0.00008486099],"category_scores_gemma":[0.00003645553,0.0001257748,0.0003478835,0.0004459487,0.00003972027,0.000002232135,0.00005477722,0.0000545514,0.000007499563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002459002,"about_ca_system_score_gemma":0.00007593605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005358654,"about_ca_topic_score_gemma":0.00001137912,"domain_scores_codex":[0.9992206,0.00007856691,0.0001933778,0.0002938917,0.00004817413,0.0001654515],"domain_scores_gemma":[0.9994502,0.00002037481,0.00008654624,0.0003333122,0.00006109415,0.0000484816],"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":[0.0001579665,0.0001962067,0.00990354,0.00001336827,0.0009608354,0.000001535593,0.00001220336,0.0001401408,0.9855108,0.00001886632,0.001905305,0.001179199],"study_design_scores_gemma":[0.0002035829,0.0001694004,0.1563646,0.000006944735,0.0003754343,0.000003417412,0.000009824298,0.00002037311,0.8398205,0.00002008709,0.002896579,0.0001092157],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9740304,0.0005542284,0.02343505,0.0000152729,0.00006933686,0.0001177241,0.00128277,0.00001185989,0.0004832977],"genre_scores_gemma":[0.99317,0.00005986497,0.004691535,0.00008707614,0.00003593562,0.000005669499,0.0009015214,0.00001161092,0.001036765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1464611,"threshold_uncertainty_score":0.5128949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006304064576850179,"score_gpt":0.3292025530323526,"score_spread":0.3228984884555025,"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."}}