{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001813377,0.0001122641,0.0001592301,0.000007506841,0.0003283991,0.00005660477,0.0001078703,0.00004984934,0.000009456483],"category_scores_gemma":[0.00004039917,0.00003365112,0.00001875429,0.0002193501,0.00006415028,0.0001723215,0.00006070507,0.000132218,0.000009359445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002388074,"about_ca_system_score_gemma":0.000004062902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001488008,"about_ca_topic_score_gemma":0.004530345,"domain_scores_codex":[0.9992431,0.00006387137,0.0001874231,0.0001901337,0.00009934667,0.0002160589],"domain_scores_gemma":[0.9996333,0.0001977464,0.00007345281,0.00002744605,0.00003245717,0.00003564103],"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":[0.00006039693,0.0001002772,0.1033167,0.00001107991,0.0001246892,0.000009229552,0.005566279,0.00007536267,0.8482199,0.00166199,0.002425797,0.03842832],"study_design_scores_gemma":[0.00008776286,0.00001155237,0.9761662,0.00002652789,0.000006352266,0.000009164381,0.003396341,0.00002989195,0.0003549205,0.00002423034,0.01977773,0.0001092825],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965726,0.0001672187,1.108217e-7,0.001998317,0.00006435387,0.0001372252,0.000004073963,0.00003101151,0.001025159],"genre_scores_gemma":[0.9985597,0.00004967553,0.00002843522,0.000337991,0.0001765225,0.00002361202,0.00001922469,4.658713e-7,0.0008043505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8728496,"threshold_uncertainty_score":0.2528039,"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."}}