{"id":"W2792215207","doi":"10.1016/j.micres.2018.01.005","title":"Microbiome engineering to improve biocontrol and plant growth-promoting mechanisms","year":2018,"lang":"en","type":"review","venue":"Microbiological Research","topic":"Plant-Microbe Interactions and Immunity","field":"Agricultural and Biological Sciences","cited_by":362,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Phyllosphere; Microbiome; Rhizosphere; Biology; Biotechnology; Plant growth; Plant disease; Biological pest control; Bacteria; Botany; Bioinformatics","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":[],"consensus_categories":[],"category_scores_codex":[0.001985378,0.0005188647,0.001177008,0.0001654444,0.0005447044,0.0003508829,0.0009806947,0.0006915445,0.0003427268],"category_scores_gemma":[0.0007776964,0.0001870308,0.0003189192,0.0008346912,0.0001656471,0.00008002364,0.001182774,0.001304746,0.0007150701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001634202,"about_ca_system_score_gemma":0.00003423115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002435323,"about_ca_topic_score_gemma":0.0000538005,"domain_scores_codex":[0.9964435,0.0005738085,0.000632382,0.0010071,0.0001641232,0.001179157],"domain_scores_gemma":[0.9975109,0.001607037,0.0001364525,0.0001714289,0.0002489297,0.0003253083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001667938,0.00007762824,4.29516e-7,0.0005746636,0.00005862018,0.00001660597,0.0000132864,8.118088e-9,0.7319223,0.0000796957,0.00205665,0.2651834],"study_design_scores_gemma":[0.00007456065,0.0008345223,0.00001375216,0.002586237,0.00003525306,0.0002368071,0.00002305048,0.000003900514,0.004058562,0.00005259591,0.9916198,0.0004609623],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0137248,0.9799176,0.0000171531,0.0003369919,0.0004314442,0.002181375,0.003127595,0.0001579842,0.0001050004],"genre_scores_gemma":[0.001351563,0.9958928,0.0005310756,0.0001031445,0.0005179926,0.0002345324,0.0009242049,0.000008601403,0.0004360338],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9895632,"threshold_uncertainty_score":0.9191018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08153069862066542,"score_gpt":0.3258381989609775,"score_spread":0.2443075003403121,"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."}}