{"id":"W2079158859","doi":"10.4141/p05-102","title":"Exploiting inter-organismal chemical communication for improved inoculants","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Legume Nitrogen Fixing Symbiosis","field":"Agricultural and Biological Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Microbial inoculant; Rhizobacteria; Rhizobia; Nitrogen fixation; Beneficial organism; Biotechnology; Biology; Biomass (ecology); Agronomy; Environmental science; Microorganism; Bacteria; Rhizosphere; Horticulture; Inoculation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004301762,0.0006110039,0.0003609383,0.0004846795,0.0003113529,0.000825129,0.0004067278,0.0007790037,0.002652295],"category_scores_gemma":[0.0003478764,0.0001538568,0.0003572416,0.000305711,0.0005166105,0.000716146,0.0006870395,0.001200342,0.001010412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007467979,"about_ca_system_score_gemma":0.0004956793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007741599,"about_ca_topic_score_gemma":0.001528667,"domain_scores_codex":[0.999699,0.00005810818,0.00001530984,0.00005727783,0.0001171415,0.00005323434],"domain_scores_gemma":[0.9997329,0.00006918279,0.0000716232,0.00003009952,0.00004042098,0.00005581054],"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":[0.00004241317,0.00004286833,0.0001027231,0.000161468,0.000006609501,0.00005032362,0.00001381227,0.00009250001,0.9899492,0.000560353,0.0001221995,0.008855578],"study_design_scores_gemma":[0.00003844269,0.0007739949,0.004277105,0.00005106821,0.00005524256,0.0002664825,0.00008373506,0.001074411,0.9561806,0.0008919575,0.03628,0.00002691106],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8301348,0.04562137,0.07785518,0.005618204,0.0008945776,0.0004531506,0.0009174087,0.001420543,0.03708471],"genre_scores_gemma":[0.9271936,0.01543729,0.04782927,0.0009057159,0.0001783344,0.0001312159,0.0004408957,0.0001259352,0.007757763],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002652295,"threshold_uncertainty_score":0.008872807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01462829420997632,"score_gpt":0.1971120231573477,"score_spread":0.1824837289473714,"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."}}