{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001477537,0.001700744,0.002241721,0.004630953,0.0004559704,0.001448537,0.001427618,0.001766455,0.005013304],"category_scores_gemma":[0.001094433,0.0005248662,0.001006256,0.003248306,0.0008486301,0.001835154,0.001174368,0.002368066,0.004780022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000706685,"about_ca_system_score_gemma":0.00132501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001239834,"about_ca_topic_score_gemma":0.001457273,"domain_scores_codex":[0.9994615,0.00008109213,0.00005307238,0.0001141422,0.0002429888,0.0000473546],"domain_scores_gemma":[0.9992266,0.0004037831,0.00008787509,0.00003860702,0.0001856392,0.00005752995],"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":[0.0000903748,0.0001351491,0.0002501934,0.02818849,0.0001308244,0.0002021869,0.000101228,0.0003688151,0.01704209,0.005856092,0.01640249,0.9312322],"study_design_scores_gemma":[0.00001365413,0.0001026154,0.0009220616,0.002688671,0.000144839,0.0008904735,0.00006828542,0.0000798546,0.004375438,0.002505551,0.9881704,0.00003815437],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001947257,0.9963074,0.0007688307,0.0001922818,0.0001543228,0.00001928783,0.00005139306,0.0000275516,0.002284344],"genre_scores_gemma":[0.0007444933,0.9965592,0.001042035,0.0001886277,0.0001223183,0.00003390072,0.0000946889,0.000005568482,0.001209156],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005013304,"threshold_uncertainty_score":0.0167712,"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."}}