{"id":"W2883091585","doi":"10.21273/hortsci13219-18","title":"Breeding Trait Priorities of the Cranberry Industry in the United States and Canada","year":2018,"lang":"en","type":"article","venue":"HortScience","topic":"Berry genetics and cultivation research","field":"Agricultural and Biological Sciences","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Food and Agriculture; Cranberry Institute; U.S. Department of Agriculture","keywords":"Abiotic component; Cultivar; Resistance (ecology); Biology; Trait; Perennial plant; Biotechnology; Productivity; Quality (philosophy); Business; Agronomy; Agroforestry; Ecology; Economics","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":[0.0006825777,0.0001552003,0.000150276,0.001310272,0.00217245,0.001264724,0.0005884756,0.0002127358,0.001994463],"category_scores_gemma":[0.0008289002,0.00015539,0.0001702796,0.001432399,0.0005134553,0.0002800555,0.0004790592,0.0004173713,0.0001477624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02790561,"about_ca_system_score_gemma":0.03327397,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9877902,"about_ca_topic_score_gemma":0.9981226,"domain_scores_codex":[0.9994492,0.0000409048,0.00001501561,0.00009266959,0.0001786176,0.000223564],"domain_scores_gemma":[0.9985927,0.00007591618,0.00009788913,0.0000270355,0.0006039362,0.0006025523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004114185,0.0001333937,0.7615221,0.0001621328,0.0001012452,0.001010754,0.007618655,0.0005556648,0.02354209,0.009154963,0.01385762,0.1819299],"study_design_scores_gemma":[0.000009943464,0.00003411216,0.9664344,0.00005632711,0.0000259312,0.0001596915,0.005823897,0.0006404939,0.0008886723,0.0002149562,0.02569116,0.00002048814],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9701453,0.002585182,0.0006744111,0.002177724,0.00002550877,0.00005488643,0.001557464,0.00004717552,0.02273238],"genre_scores_gemma":[0.9846182,0.001411691,0.00165938,0.0004174238,0.000003487792,0.00001429337,0.00070144,0.00001994167,0.01115412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02790561,"threshold_uncertainty_score":0.2024704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03471732854934151,"score_gpt":0.2416634251898814,"score_spread":0.2069460966405399,"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."}}