{"id":"W4206595631","doi":"10.3390/agronomy12010149","title":"Mycorrhizal Fungi Inoculation Improves Capparis spinosa’s Yield, Nutrient Uptake and Photosynthetic Efficiency under Water Deficit","year":2022,"lang":"en","type":"article","venue":"Agronomy","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"King Saud University","keywords":"Biology; Inoculation; Photosynthesis; Seedling; Nutrient; Carotenoid; Photosynthetic efficiency; Horticulture; Biomass (ecology); Photosynthetic capacity; Microbial inoculant; Abiotic component; Chlorophyll; Symbiosis; Botany; Agronomy; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001508044,0.0001542667,0.0001427029,0.00002623999,0.0006019679,0.00008272651,0.0001513255,0.0000509415,0.01318973],"category_scores_gemma":[0.00001889766,0.00006405768,0.0000821608,0.00013882,0.000009544726,0.0001232358,0.0001511722,0.0001870659,0.0002274706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004353096,"about_ca_system_score_gemma":0.000008330548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001750778,"about_ca_topic_score_gemma":0.00007089383,"domain_scores_codex":[0.9988979,0.00005533203,0.0002247315,0.0003384947,0.000169059,0.0003145406],"domain_scores_gemma":[0.9992959,0.000463382,0.00005702582,0.00006863313,0.00002507687,0.00008996],"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":[0.0002099084,0.000477304,0.04606044,0.00001971674,0.00005878799,0.00001502632,0.00092267,0.0006064366,0.9068114,0.008976138,0.006481435,0.0293607],"study_design_scores_gemma":[0.0004387969,0.001518537,0.1156213,0.00006735337,0.0001749165,0.0004206754,0.007970967,0.003755266,0.05103618,0.006253041,0.8111622,0.001580727],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933465,0.0006437085,0.00005650292,0.0004372882,0.00032332,0.0003223454,0.000230504,0.000057446,0.004582365],"genre_scores_gemma":[0.99813,0.0001021418,0.00003189887,0.0002639565,0.00009910285,0.0000849324,0.0007404716,0.000001636936,0.0005459056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8557752,"threshold_uncertainty_score":0.9877123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01158749472102941,"score_gpt":0.187250656402578,"score_spread":0.1756631616815486,"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."}}