{"id":"W2182263021","doi":"10.17660/actahortic.2005.667.39","title":"DEVELOPMENTS IN HIGH DENSITY SWEET CHERRY PRUNING AND TRAINING SYSTEMS AROUND THE WORLD","year":2005,"lang":"en","type":"article","venue":"Acta Horticulturae","topic":"Plant Physiology and Cultivation Studies","field":"Agricultural and Biological Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pruning; Rootstock; Orchard; Dwarfing; Sowing; Horticulture; Agroforestry; Engineering; Agronomy; Geography; Biology","routes":{"ca_aff":false,"ca_fund":false,"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":[0.002808685,0.0002471509,0.0002206049,0.0009160676,0.001057173,0.001893748,0.0008408004,0.000670749,0.003913559],"category_scores_gemma":[0.001295146,0.0002546381,0.0001885193,0.001670684,0.0006797937,0.001387454,0.0009080436,0.0008370074,0.0006369225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001253393,"about_ca_system_score_gemma":0.001587626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006248048,"about_ca_topic_score_gemma":0.02095634,"domain_scores_codex":[0.9992786,0.0002092147,0.0000403904,0.000148829,0.0002294016,0.00009357462],"domain_scores_gemma":[0.998497,0.0003856837,0.0001607643,0.0001276816,0.0004976792,0.0003312003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002736545,0.0007879563,0.01159108,0.0008075697,0.00002613508,0.000689749,0.006376901,0.001094289,0.04070353,0.02554916,0.008214273,0.9038856],"study_design_scores_gemma":[0.00008934965,0.001870279,0.1087882,0.0004231701,0.00007612504,0.002284928,0.004614139,0.0009746887,0.01838294,0.006454103,0.8559232,0.0001187946],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6526184,0.04978701,0.06585266,0.01630945,0.0008227994,0.0006075088,0.0005232008,0.0006882329,0.2127908],"genre_scores_gemma":[0.7221952,0.04859669,0.1686662,0.003489091,0.0003675822,0.000306894,0.001295794,0.0001944385,0.05488813],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006248048,"threshold_uncertainty_score":0.01485395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03732485348774262,"score_gpt":0.2277008407987497,"score_spread":0.190375987311007,"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."}}