{"id":"W4285011486","doi":"10.3390/microorganisms10071380","title":"Current Techniques to Study Beneficial Plant-Microbe Interactions","year":2022,"lang":"en","type":"review","venue":"Microorganisms","topic":"Plant-Microbe Interactions and Immunity","field":"Agricultural and Biological Sciences","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Biology; Microbial inoculant; Microbiome; Plant growth; Metabolomics; Transcriptome; Genome; Plant development; Computational biology; Bacteria; Biotechnology; Proteomics; Gene; Botany; Bioinformatics; Gene expression; 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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002825635,0.0005590311,0.001067402,0.0001188903,0.00088611,0.0002312599,0.001083819,0.000128793,0.00818336],"category_scores_gemma":[0.00003943276,0.0002462963,0.0004459351,0.0008048321,0.00002145193,0.0001168004,0.0008937226,0.001161827,0.0006176619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003120679,"about_ca_system_score_gemma":0.00005072345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005367483,"about_ca_topic_score_gemma":0.001091013,"domain_scores_codex":[0.9975618,0.0003678712,0.0007398452,0.0006764901,0.000201772,0.0004522282],"domain_scores_gemma":[0.9989496,0.0003147014,0.0003213806,0.0002250228,0.00004751804,0.0001417501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008106531,0.000914741,0.000004131554,0.0001236532,0.00007587615,0.00001457172,0.0001187614,2.289786e-8,0.01129763,0.000003919726,0.007950445,0.9794881],"study_design_scores_gemma":[0.0000357454,0.0003770457,0.00003462398,0.0006713183,0.0002483668,0.000263544,0.0003572627,3.701585e-8,0.0008069542,0.000005931813,0.9966622,0.0005369876],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.009416825,0.9802579,0.000004699522,0.00009022399,0.00218505,0.002593481,0.004664965,0.0004111791,0.0003757321],"genre_scores_gemma":[0.000215359,0.9958076,0.00009678775,0.0001289611,0.0005881641,0.0003761897,0.002442825,0.0000112749,0.0003327732],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9887117,"threshold_uncertainty_score":0.9999989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06516706457813122,"score_gpt":0.3161268821760252,"score_spread":0.250959817597894,"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."}}