{"id":"W4386953870","doi":"10.1139/gen-2023-0045","title":"Structure and genetic diversity of Canadian Maritimes wild hops","year":2023,"lang":"en","type":"article","venue":"Genome","topic":"Hops Chemistry and Applications","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Biology; Genetic diversity; Humulus lupulus; Analysis of molecular variance; Subspecies; Microsatellite; Genetic marker; Haplotype; Genetic variation; Genetic distance; Evolutionary biology; Genetics; Genotype; Allele; Zoology; Horticulture; Population; Gene","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001759728,0.0002156609,0.0002217145,0.002569829,0.001289266,0.0006084452,0.0003633165,0.0001271926,0.0008377807],"category_scores_gemma":[0.0003837852,0.0001141382,0.0001779916,0.002618132,0.0005431211,0.0001086162,0.0003136598,0.0001461947,0.0000835087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005920399,"about_ca_system_score_gemma":0.005371534,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9081128,"about_ca_topic_score_gemma":0.9690908,"domain_scores_codex":[0.9997305,0.0000116749,0.00001090758,0.00007197574,0.0001110343,0.00006378814],"domain_scores_gemma":[0.9996796,0.00002217817,0.00003963282,0.00001345587,0.0001940291,0.00005114757],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006226256,0.00007818957,0.7928846,0.0001983617,0.0002246501,0.001135876,0.007666504,0.0007583494,0.1304375,0.001166206,0.0008844628,0.0639427],"study_design_scores_gemma":[0.000004754775,0.00003485463,0.9939215,0.00001289553,0.00003823097,0.0001836638,0.00153685,0.0002216223,0.001621026,0.00003567741,0.002374014,0.0000149298],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979371,0.0001863481,0.0001399144,0.00001699925,0.000001388853,0.00001355839,0.0005468929,0.000005199923,0.001152685],"genre_scores_gemma":[0.9970482,0.0002721501,0.0005041773,0.00001482428,0.000001297023,0.00001061236,0.0009950779,0.000004735205,0.001148831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09188718,"threshold_uncertainty_score":0.1848566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06453443634534857,"score_gpt":0.3424103050492106,"score_spread":0.2778758687038621,"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."}}