{"id":"W1973992196","doi":"10.1016/j.fm.2011.01.008","title":"Correlation of maple sap composition with bacterial and fungal communities determined by multiplex automated ribosomal intergenic spacer analysis (MARISA)","year":2011,"lang":"en","type":"article","venue":"Food Microbiology","topic":"Plant-Derived Bioactive Compounds","field":"Chemistry","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Maple; Biology; Ribosomal Intergenic Spacer analysis; Microbiology; Botany; Ribosomal RNA; Internal transcribed spacer; Biochemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002388373,0.0003289005,0.0003186374,0.0006866339,0.0002030191,0.0005761302,0.0001155557,0.0002300417,0.0008109745],"category_scores_gemma":[0.0005616168,0.0001901468,0.0001985053,0.0003770003,0.0001495887,0.0002947075,0.0002386027,0.0003373271,0.0004147581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000827511,"about_ca_system_score_gemma":0.00008635937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004827671,"about_ca_topic_score_gemma":0.001121043,"domain_scores_codex":[0.9998037,0.00002541159,0.00001234053,0.00007035765,0.00005006849,0.00003805604],"domain_scores_gemma":[0.9994621,0.0001689084,0.0001496229,0.00002962931,0.00009823811,0.00009144023],"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":[0.0003070066,0.00002936119,0.009058885,0.0000161522,0.00001262185,0.00002591089,0.00006135507,0.00003157704,0.988607,0.00001136073,0.00001075636,0.001828071],"study_design_scores_gemma":[0.000009212225,0.0007676759,0.6457711,0.00001099633,0.0000572545,0.0003816706,0.0002352887,0.001749683,0.3501794,0.00007741038,0.0007383258,0.00002188443],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980835,0.0001131616,0.001134624,0.000005464199,0.000002937995,0.000006551913,0.0003600008,0.00002777626,0.0002659269],"genre_scores_gemma":[0.9933223,0.0001118176,0.004287296,0.00002291267,0.000004588823,0.00002468192,0.001274694,0.00002349315,0.0009281598],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008109745,"threshold_uncertainty_score":0.002713025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01520510029027879,"score_gpt":0.2050159092599328,"score_spread":0.189810808969654,"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."}}