{"id":"W3094677770","doi":"10.3390/plants9111467","title":"Nutrient Diagnosis of Fertigated “Prata” and “Cavendish” Banana (Musa spp.) at Plot-Scale","year":2020,"lang":"en","type":"article","venue":"Plants","topic":"Banana Cultivation and Research","field":"Agricultural and Biological Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Natural Sciences and Engineering Research Council of Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Coda; Nutrient; Scale (ratio); Plot (graphics); Yield (engineering); Mathematics; Nutrient management; Environmental science; Agronomy; Agricultural engineering; Statistics; Biology; Ecology; Materials science; Geology; Geography; Cartography","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":[0.0006481749,0.0005887008,0.0003184656,0.0008005896,0.0002682157,0.0006751907,0.000507142,0.0003334971,0.0007197363],"category_scores_gemma":[0.001191687,0.0001685332,0.0005516231,0.0005919185,0.0003146053,0.0005740175,0.000490743,0.0003523081,0.0002843921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000804194,"about_ca_system_score_gemma":0.0002918388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01570067,"about_ca_topic_score_gemma":0.04275344,"domain_scores_codex":[0.9997393,0.00003770345,0.00001342903,0.0001473266,0.00004144924,0.0000206189],"domain_scores_gemma":[0.9994177,0.0002701698,0.0001106833,0.00004479956,0.0001279313,0.00002874564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009481476,0.000168109,0.5728327,0.0007450174,0.0003857376,0.000635961,0.0009202987,0.06280045,0.1211996,0.001018182,0.001354556,0.2369913],"study_design_scores_gemma":[0.00002046129,0.0003455344,0.5563703,0.0001352434,0.0002238149,0.0005891644,0.00124144,0.3833483,0.0476612,0.003031031,0.006949821,0.00008364765],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9666177,0.0006613909,0.02867364,0.0001015008,0.00001497868,0.00003723594,0.001265332,0.0004980145,0.00213017],"genre_scores_gemma":[0.9756252,0.0002272226,0.02171065,0.00003362537,0.000004299051,0.0000213031,0.001517709,0.00006540623,0.0007946229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01570067,"threshold_uncertainty_score":0.03121859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04748387075079393,"score_gpt":0.2317511120310246,"score_spread":0.1842672412802306,"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."}}