{"id":"W6884551547","doi":"10.1051/ctv/20213601089/pdf","title":"Nutritional status differentially affect yield and must composition of hybrids and","year":2021,"lang":"en","type":"article","venue":"Springer Link (Chiba Institute of Technology)","topic":"Horticultural and Viticultural Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada; National Spasmodic Dysphonia Association; Department of Agriculture, Nova Scotia","keywords":"Yield (engineering); Nutrient; Hybrid; Dry matter; Micronutrient; Nova scotia; Composition (language); Organic matter","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009572668,0.0002180619,0.0001849049,0.0003927364,0.0002913992,0.0004082238,0.0001169578,0.0001303587,0.0008784207],"category_scores_gemma":[0.0001441211,0.0001284536,0.0001499203,0.0002248906,0.000192694,0.0001543584,0.0002290238,0.0001967152,0.0001724498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005333005,"about_ca_system_score_gemma":0.0001937092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01277442,"about_ca_topic_score_gemma":0.03942432,"domain_scores_codex":[0.9999058,0.000009110163,0.00000599913,0.00004140359,0.00001677126,0.00002091228],"domain_scores_gemma":[0.9998446,0.00003058367,0.00002885484,0.00001189751,0.00002433931,0.00005977459],"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":[0.0008937875,0.00008514901,0.09956749,0.00003750573,0.00008208193,0.0004871927,0.0004417163,0.00008256168,0.8939921,0.0001143616,0.0001160699,0.004099951],"study_design_scores_gemma":[0.00000637157,0.0001710284,0.9895195,0.000003506093,0.00002182693,0.0002379799,0.0002970947,0.0001750168,0.00882721,0.00003877631,0.0006940282,0.000007563995],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994757,0.00006456712,0.00004500669,0.000005706922,0.000002155125,0.000001483742,0.0001101248,0.000003097534,0.0002922295],"genre_scores_gemma":[0.9978295,0.00004014774,0.0001067201,0.00001848797,0.000001248898,0.000002858296,0.0005238501,0.000009390663,0.001467838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01277442,"threshold_uncertainty_score":0.0254001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02343206652078281,"score_gpt":0.2496413308081749,"score_spread":0.2262092642873921,"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."}}