{"id":"W3215116885","doi":"10.1139/cjb-2021-0168","title":"A rapid method for sex identification in <i>Cannabis sativa</i> using high resolution melt analysis","year":2021,"lang":"en","type":"article","venue":"Botany","topic":"Hops Chemistry and Applications","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biology; Humulus lupulus; Cannabis sativa; Cannabis; Gynoecium; Identification (biology); High resolution; High Resolution Melt; Botany; Genetics; Pollen; Gene; Genotype; Horticulture; Stamen","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008736178,0.0001260371,0.0002436213,0.00008738981,0.0002226319,0.00002358129,0.0001294871,0.0002352436,0.000513112],"category_scores_gemma":[0.0001502407,0.0001463145,0.0001466592,0.001072943,0.00004701279,0.00007312647,0.00003621304,0.0002530709,0.00001167392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001218141,"about_ca_system_score_gemma":0.0001054118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004949769,"about_ca_topic_score_gemma":0.00006163306,"domain_scores_codex":[0.9985444,0.0003299701,0.0003864793,0.0003843954,0.00009119324,0.0002635453],"domain_scores_gemma":[0.9991192,0.0002340486,0.0001451268,0.0002739312,0.000136435,0.00009126601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006079185,0.0002290272,0.001155824,0.00003202801,0.0003502984,0.000006720849,0.0003133915,0.003142525,0.9808517,0.00124807,0.002205356,0.01040424],"study_design_scores_gemma":[0.0009157661,0.00001017577,0.004870234,0.000006156703,0.001007195,0.000009803999,0.0002854975,0.1078902,0.7555756,0.001965274,0.1272377,0.0002264456],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8158878,0.0008484414,0.1772086,0.003709637,0.0002262468,0.0005261435,0.0002779138,0.00007787383,0.001237327],"genre_scores_gemma":[0.9782524,0.00009168617,0.01804443,0.0007433349,0.0001675306,0.0002513265,0.0001181327,0.00001513613,0.002316043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2252761,"threshold_uncertainty_score":0.5966531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1125839745700768,"score_gpt":0.4560402185074073,"score_spread":0.3434562439373305,"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."}}