{"id":"W4413365405","doi":"10.3389/fpls.2025.1578662","title":"Functional differentiation of industrial hemp rhizosphere microbiome along environmental gradients","year":2025,"lang":"en","type":"article","venue":"Frontiers in Plant Science","topic":"Plant-Microbe Interactions and Immunity","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Agricultural Science and Technology Innovation Program; Chinese Academy of Agricultural Sciences","keywords":"Rhizosphere; Microbial population biology; Ecosystem; Environmental science; Microbiome; Ecology; Biology; Temperate climate; Community structure; Nutrient cycle; Bacteria","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":[0.0002101604,0.0002527112,0.0002760952,0.0005926588,0.0003028085,0.0004053096,0.0001164399,0.00019751,0.0005168535],"category_scores_gemma":[0.0002083073,0.00009867545,0.0002192486,0.0007001267,0.0001910679,0.0003484863,0.0003709341,0.0001787631,0.00008755516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002210262,"about_ca_system_score_gemma":0.0002981935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003949117,"about_ca_topic_score_gemma":0.005636398,"domain_scores_codex":[0.9998493,0.00001820982,0.000009482623,0.00006428872,0.00002117992,0.00003742029],"domain_scores_gemma":[0.9998623,0.00002262387,0.00004205931,0.000009097456,0.00003802975,0.00002581752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002740656,0.00005061047,0.4445398,0.0002122357,0.00008254414,0.0002640657,0.0007884188,0.0005653621,0.5353056,0.0001745141,0.0001674427,0.01757529],"study_design_scores_gemma":[0.000002734307,0.00003321199,0.9943272,0.00000652639,0.0000160953,0.00007744336,0.0002829909,0.0005906143,0.004254889,0.0000638735,0.0003386128,0.000005802643],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988532,0.0001780385,0.0003168031,0.00001391924,0.000001461948,0.000004474025,0.0003310244,0.000005505235,0.0002955194],"genre_scores_gemma":[0.9988248,0.0001075736,0.0004416353,0.00001856128,0.000001917336,0.000008547764,0.0004426831,0.000003394337,0.0001508403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003949117,"threshold_uncertainty_score":0.007852256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01321018397423269,"score_gpt":0.1869062131095875,"score_spread":0.1736960291353548,"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."}}