{"id":"W1978301081","doi":"10.1300/j492v05n02_12","title":"Combining Plant Growth with Nutrient Content Measurements as a Method to Compare Nutrient Use by Different Raspberry Cultivars","year":2005,"lang":"en","type":"article","venue":"International Journal of Fruit Science","topic":"Berry genetics and cultivation research","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cultivar; Rubus; Blowing a raspberry; Cane; Nutrient; Dry matter; Berry; Horticulture; Pruning; Dry weight; Botany; Biology; Agronomy; Chemistry; Sugar; Ecology; Food science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003899011,0.0005293704,0.0004885508,0.00135675,0.0003136679,0.0004060868,0.0003767047,0.0003687568,0.0006253732],"category_scores_gemma":[0.0004037195,0.0003455449,0.0002259401,0.0006979247,0.0002984953,0.000290079,0.0003453791,0.0004108262,0.0002809287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005119816,"about_ca_system_score_gemma":0.0001570698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005454816,"about_ca_topic_score_gemma":0.01629142,"domain_scores_codex":[0.9995931,0.00005444455,0.00002668324,0.0001813476,0.0001158811,0.00002867256],"domain_scores_gemma":[0.9994007,0.0001613886,0.0001228401,0.00008614393,0.0001312105,0.00009773505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004019086,0.0000732036,0.0455192,0.00005295273,0.00006600804,0.00003758218,0.0001679189,0.0001166256,0.948296,0.00002279433,0.00003782416,0.00520802],"study_design_scores_gemma":[0.00001473521,0.000498663,0.9268677,0.000005254273,0.00004531274,0.0001364602,0.0001303784,0.001222941,0.07042724,0.00003101693,0.0006063848,0.00001401003],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971598,0.0001399056,0.001571275,0.000007788252,0.00000515987,0.0000268537,0.0003565001,0.00006180255,0.0006710187],"genre_scores_gemma":[0.9878646,0.0001054283,0.009132994,0.00004770089,0.000004616576,0.0001248504,0.00113603,0.00006129579,0.0015225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005454816,"threshold_uncertainty_score":0.01084614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1334785026930794,"score_gpt":0.3325040113271513,"score_spread":0.1990255086340719,"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."}}