{"id":"W4308352362","doi":"10.3390/agronomy12112714","title":"Local Factors Impact Accuracy of Garlic Tissue Test Diagnosis","year":2022,"lang":"en","type":"article","venue":"Agronomy","topic":"Banana Cultivation and Research","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Edaphic; Productivity; Yield (engineering); Regression analysis; Nutrient; Regression; Statistics; Environmental science; Mathematics; Biology; Ecology; Soil science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003080492,0.0009108789,0.0007864847,0.001214907,0.000478204,0.001889629,0.0006706643,0.000572983,0.001437747],"category_scores_gemma":[0.01073536,0.000192465,0.0007667249,0.0008755837,0.0004432985,0.00110599,0.001044932,0.0004937226,0.001215076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007340008,"about_ca_system_score_gemma":0.00051491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01608719,"about_ca_topic_score_gemma":0.0288603,"domain_scores_codex":[0.9983151,0.0003644599,0.0001748435,0.0006924717,0.000267529,0.0001855942],"domain_scores_gemma":[0.9939335,0.003565266,0.0006146395,0.0007552074,0.0009452596,0.0001861643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006002862,0.0001237735,0.8291901,0.0003906425,0.0002440907,0.0003437987,0.0004282957,0.0194442,0.01524161,0.0003305597,0.003398633,0.130264],"study_design_scores_gemma":[0.00004220797,0.0003006469,0.7616669,0.0003086928,0.0002935905,0.0007793868,0.002092846,0.191824,0.02514654,0.00252514,0.01493945,0.00008055506],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9630256,0.002510166,0.0224086,0.0003719394,0.0001054333,0.0000664626,0.00420193,0.001233201,0.006076689],"genre_scores_gemma":[0.9909828,0.0001904181,0.004606863,0.00006513816,0.00001294517,0.00001422289,0.003341439,0.00006224649,0.0007238094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01608719,"threshold_uncertainty_score":0.03198713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03681208361117738,"score_gpt":0.2885726456056699,"score_spread":0.2517605619944925,"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."}}