{"id":"W3114622897","doi":"10.3390/microorganisms9010081","title":"Analysis of Arbuscular Mycorrhizal Fungal Inoculant Benchmarks","year":2020,"lang":"en","type":"article","venue":"Microorganisms","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":113,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Fondation OCP","keywords":"Microbial inoculant; Rhizophagus irregularis; Crop; Nutrient; Arbuscular mycorrhizal fungi; Agriculture; Biology; Agronomy; Microorganism; Crop yield; Glomus; Horticulture; Symbiosis; Arbuscular mycorrhizal; Bacteria; Inoculation; Ecology","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":[0.0005216417,0.0004776278,0.0004766669,0.002723703,0.0003192289,0.0007854847,0.0002228689,0.0002637802,0.001215438],"category_scores_gemma":[0.0009247009,0.0001097155,0.000289068,0.002003467,0.0001641662,0.0003523837,0.0004168141,0.0002625643,0.0004192534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001425699,"about_ca_system_score_gemma":0.0002476677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001256923,"about_ca_topic_score_gemma":0.001943546,"domain_scores_codex":[0.9993945,0.00006035848,0.00008836125,0.0001284696,0.0002502835,0.00007792909],"domain_scores_gemma":[0.9990169,0.0002543598,0.0002358934,0.00005841445,0.0003501931,0.00008411072],"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":[0.0004617629,0.0002546852,0.08715455,0.0004879778,0.00009615145,0.0003163817,0.0003246628,0.0001622482,0.872923,0.0001221243,0.0001292766,0.03756735],"study_design_scores_gemma":[0.00001252938,0.001721013,0.7728858,0.0001194462,0.0002173907,0.0005930327,0.001184491,0.0006778946,0.2143763,0.0001195547,0.008063075,0.00002944502],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918458,0.001851242,0.0007269849,0.00001608951,0.000007107757,0.00006836354,0.002838971,0.00002550012,0.002620063],"genre_scores_gemma":[0.9854596,0.00164548,0.00615245,0.00004474731,0.00001082974,0.0001345677,0.004887511,0.00002274592,0.001642082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002723703,"threshold_uncertainty_score":0.00406599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009534348765708803,"score_gpt":0.1815601163656956,"score_spread":0.1720257675999868,"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."}}