{"id":"W2104431429","doi":"10.21273/hortsci.35.7.1215","title":"Trellising System and Cane Density Affect Yield and Fruit Quality of Red Raspberry","year":2000,"lang":"en","type":"article","venue":"HortScience","topic":"Berry genetics and cultivation research","field":"Agricultural and Biological Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Cane; Trellis (graph); Canopy; Microclimate; Blowing a raspberry; Rubus; Yield (engineering); Horticulture; Agronomy; Mathematics; Botany; Biology; Food science; Ecology; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005248573,0.00005823371,0.000115497,0.00000652242,0.000177817,0.00004663215,0.000092454,0.00004002395,0.0001593671],"category_scores_gemma":[0.00004518649,0.00002360396,0.00001922112,0.0002243069,0.000162862,0.00005568833,0.00003790032,0.00004923725,0.000001728745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007157401,"about_ca_system_score_gemma":0.000006428997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001281725,"about_ca_topic_score_gemma":0.0006887161,"domain_scores_codex":[0.9992177,0.0000501357,0.0001375399,0.0002234292,0.0002229374,0.0001482875],"domain_scores_gemma":[0.999641,0.0001465337,0.00003997545,0.00004449121,0.00004198674,0.0000859909],"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":[0.00001908353,0.00002224609,0.09883992,0.00002532242,0.000002531748,0.000002177895,0.00009230425,0.000004355786,0.770023,0.0002715126,0.00007783643,0.1306197],"study_design_scores_gemma":[0.00003972643,0.00007668731,0.9884409,0.00002796757,0.000002049221,0.000007412431,0.000221998,0.0001899769,0.01047529,0.00003704239,0.0004125993,0.00006829861],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974781,0.0001835434,0.000002698321,0.0002564018,0.00001636644,0.0001004069,0.000006362829,0.00001307254,0.001943015],"genre_scores_gemma":[0.9994512,0.00009397167,0.00003680213,0.00002858693,0.00002112158,0.000002146999,0.000001476998,2.667336e-7,0.000364414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8896011,"threshold_uncertainty_score":0.1937594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06342991593502599,"score_gpt":0.2818310727656722,"score_spread":0.2184011568306462,"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."}}