{"id":"W4386812827","doi":"10.1094/mpmi-03-23-0029-r","title":"Laser Capture Microdissection Transcriptome Reveals Spatiotemporal Tissue Gene Expression Patterns of <i>Medicago truncatula</i> Roots Responding to Rhizobia","year":2023,"lang":"en","type":"article","venue":"Molecular Plant-Microbe Interactions","topic":"Legume Nitrogen Fixing Symbiosis","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institute of General Medical Sciences; National Institutes of Health; Clemson University","keywords":"Medicago truncatula; Biology; Laser capture microdissection; Rhizobia; Transcriptome; Gene expression; Gene; Cell biology; Root nodule; Gene expression profiling; Genetics; Symbiosis","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":[0.00007300532,0.0002122776,0.0002242196,0.000261617,0.0002261327,0.0003814462,0.0001878576,0.0002396391,0.0009123855],"category_scores_gemma":[0.00008576937,0.0001152189,0.0002286296,0.0003334294,0.0001414333,0.0001197786,0.0001654537,0.0003107444,0.0006277011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003183721,"about_ca_system_score_gemma":0.0001402368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002547082,"about_ca_topic_score_gemma":0.006941508,"domain_scores_codex":[0.9998989,0.000003098545,0.000004126559,0.00004983354,0.00002272794,0.00002122173],"domain_scores_gemma":[0.9999146,0.00002172952,0.00002644675,0.000009417918,0.0000151101,0.00001258129],"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":[0.00002950517,0.000003328858,0.0005472259,0.00001314777,0.000002624388,0.00001739469,0.00001983095,0.00004490116,0.9980902,0.00001423305,0.00006036237,0.00115722],"study_design_scores_gemma":[0.00001296014,0.0001632023,0.2823439,0.00001414157,0.00004821631,0.0004114585,0.0001802909,0.003488896,0.7068452,0.0001024696,0.006367105,0.00002206177],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9825872,0.0006516301,0.005406969,0.0001042772,0.00001711582,0.0000305303,0.009526049,0.0003227378,0.001353608],"genre_scores_gemma":[0.950376,0.001025207,0.01504782,0.0002822985,0.00003695965,0.0001247157,0.02443693,0.0001712026,0.008498835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002547082,"threshold_uncertainty_score":0.005064547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0118084081227681,"score_gpt":0.2411178851572583,"score_spread":0.2293094770344902,"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."}}