{"id":"W2998605089","doi":"","title":"Pathogen growth inhibition and disease suppression on cucumber and canola plants with ActiveFlower™ (AF), a foliar nutrient spray containing boron","year":2019,"lang":"en","type":"dissertation","venue":"Summit (Simon Fraser University)","topic":"Plant Micronutrient Interactions and Effects","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Simon Fraser University","keywords":"Canola; Boron; Nutrient; Pathogen; Biology; Agronomy; Growth inhibition; Botany; Horticulture; Chemistry; Microbiology; Ecology; Biochemistry; In vitro","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005727645,0.0003173761,0.0002793254,0.0001041695,0.0003183532,0.00008149959,0.0001033451,0.0002201081,0.00005661554],"category_scores_gemma":[0.00001896502,0.0001610719,0.00005597954,0.0001779034,0.00003465308,0.0003389292,0.00004551375,0.0002950334,0.00001573354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009870913,"about_ca_system_score_gemma":0.00003518368,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005660194,"about_ca_topic_score_gemma":0.01848349,"domain_scores_codex":[0.9987147,0.00009993348,0.0001178626,0.0005744786,0.0002141471,0.0002789007],"domain_scores_gemma":[0.9992154,0.0001908776,0.0001770453,0.0000712389,0.00007073324,0.0002747695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.05248927,0.001539148,0.7841132,0.0008555301,0.0005077803,0.002877203,0.0005297356,0.00001900352,0.11798,0.003777504,0.02012621,0.01518542],"study_design_scores_gemma":[0.0119971,0.009972238,0.3465126,0.01371417,0.001578489,0.000001899346,0.1071581,0.0002759013,0.1249584,0.0008650349,0.3775079,0.005458088],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964132,0.0001334802,0.000002995093,0.00009500918,0.0002070227,0.0005018039,0.001015771,0.00004566205,0.001585035],"genre_scores_gemma":[0.9930233,0.0005190138,0.000004964166,0.00007275465,0.00005956704,0.000003793114,0.00372887,0.000004418687,0.002583297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4376005,"threshold_uncertainty_score":0.9994266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007139368676090688,"score_gpt":0.1900487018106703,"score_spread":0.1829093331345796,"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."}}