{"id":"W3020491975","doi":"10.1093/aob/mcaa083","title":"How plant allometry influences bud phenology and fruit yield in two Vaccinium species","year":2020,"lang":"en","type":"article","venue":"Annals of Botany","topic":"Berry genetics and cultivation research","field":"Agricultural and Biological Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Canada; Agriculture and Agri-Food Canada; Université du Québec en Outaouais; Université du Québec à Chicoutimi","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Phenology; Biology; Allometry; Vaccinium; Biomass (ecology); Pruning; Botany; Bud; Shoot; Biomass partitioning; Crop; Horticulture; Agronomy; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0002590661,0.0001744856,0.0002145751,0.0004314446,0.0004107933,0.000281261,0.000298608,0.000162383,0.0004224372],"category_scores_gemma":[0.0003258388,0.0001385888,0.000173387,0.0002037123,0.0002055855,0.0002041377,0.0001868898,0.0001941056,0.00006798495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009790905,"about_ca_system_score_gemma":0.000329197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03816459,"about_ca_topic_score_gemma":0.1042086,"domain_scores_codex":[0.9998826,0.00002592532,0.000005567198,0.00004785748,0.00001706709,0.00002094037],"domain_scores_gemma":[0.9997273,0.00009727333,0.00006712695,0.00002085895,0.00004845548,0.00003891863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002662573,0.0001063627,0.6465404,0.00006532002,0.0001203638,0.0001595215,0.0008009605,0.000579106,0.3427267,0.0001075134,0.00009980319,0.008427684],"study_design_scores_gemma":[0.000001666252,0.00002798168,0.9986349,0.000001315192,0.00000647977,0.00003599469,0.00006011729,0.0004233396,0.0006847616,0.000009462582,0.0001119425,0.000002194449],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996637,0.00003918743,0.0001013807,0.000003458887,4.186429e-7,0.000002271534,0.00005522683,0.000002548004,0.0001318285],"genre_scores_gemma":[0.9994091,0.00001680927,0.0002353936,0.000007638812,5.485686e-7,0.000004210016,0.0002181461,0.000003763369,0.0001044183],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03816459,"threshold_uncertainty_score":0.07588488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1658640207519193,"score_gpt":0.3105300261770968,"score_spread":0.1446660054251775,"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."}}