{"id":"W2590762952","doi":"10.17660/actahortic.2014.1048.1","title":"GENETIC AND DEVELOPING GENOMIC RESOURCES IN BLACK RASPBERRY","year":2014,"lang":"en","type":"article","venue":"Acta Horticulturae","topic":"Berry genetics and cultivation research","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Food and Agriculture; U.S. Department of Agriculture","keywords":"Blowing a raspberry; Genetic resources; Biology; Computer science; Biotechnology; Food science","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":[0.0001636622,0.0001059421,0.0001206178,0.00001232946,0.0001074554,0.000104226,0.0001585532,0.00007177699,0.0001083273],"category_scores_gemma":[0.00006440604,0.00003996498,0.00002532378,0.0002160408,0.00007110423,0.00005131172,0.0000972947,0.00009736957,0.00002883891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001990214,"about_ca_system_score_gemma":0.000004228483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001848813,"about_ca_topic_score_gemma":0.001023067,"domain_scores_codex":[0.9990656,0.00007156164,0.0001948298,0.0002574079,0.0001482619,0.000262323],"domain_scores_gemma":[0.9996833,0.0001002387,0.00004359384,0.00004445369,0.00004416547,0.00008423874],"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":[0.00001230066,0.00002935433,0.1339583,0.00001020458,0.000009794862,0.000002383641,0.0005924558,0.00001702384,0.7949454,0.0002337328,0.0004388969,0.06975017],"study_design_scores_gemma":[0.0001014286,0.0000498293,0.9666568,0.00001295666,0.000002562218,0.000003663407,0.0003562206,0.00026004,0.001111541,0.000215976,0.03109309,0.00013591],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962996,0.0001083698,0.000001450634,0.002441632,0.00002118605,0.0001372601,0.0000019717,0.00002076892,0.000967823],"genre_scores_gemma":[0.9989491,0.0001565298,0.0002533738,0.0002714985,0.0001173767,0.00001159567,0.000007815484,9.786854e-7,0.0002317127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8326985,"threshold_uncertainty_score":0.1629724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02191625683991571,"score_gpt":0.2281533242903455,"score_spread":0.2062370674504298,"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."}}