{"id":"W4394161466","doi":"10.6084/m9.figshare.20381892","title":"Additional file 6 of Whole-genome resequencing of wild and cultivated cannabis reveals the genetic structure and adaptive selection of important traits","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Government of Manitoba","funders":"","keywords":"Selection (genetic algorithm); Biology; Evolutionary biology; Cannabis; Genome; Computational biology; Genetics; Computer science; Gene; Psychology; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00125936,0.00167266,0.001879475,0.00260753,0.001381069,0.00201036,0.002523927,0.002302529,0.4544286],"category_scores_gemma":[0.008449837,0.000771763,0.001442868,0.004009625,0.0004423389,0.001210458,0.001299168,0.001563753,0.1019782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0010496,"about_ca_system_score_gemma":0.001932557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01347636,"about_ca_topic_score_gemma":0.02709631,"domain_scores_codex":[0.9993373,0.0001000959,0.00008012702,0.0002586944,0.000104805,0.0001188686],"domain_scores_gemma":[0.995008,0.003505467,0.0003068706,0.0004337792,0.0005186051,0.0002272648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003567742,0.0001000827,0.004943127,0.005189084,0.0001865651,0.000152861,0.0001205701,0.0009647674,0.001096305,0.001007646,0.9809965,0.004885675],"study_design_scores_gemma":[0.003531376,0.0001604276,0.03911996,0.001979932,0.0004043097,0.0004152787,0.0003301991,0.001403604,0.001635455,0.006756301,0.9441009,0.0001622815],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001073425,0.00001589778,0.00006060531,0.00002187775,0.000006867348,0.000009473786,0.9995179,0.00008584515,0.000174158],"genre_scores_gemma":[0.001207097,0.00004452625,0.0006413131,0.00009236627,0.000007830479,0.0001897479,0.9968022,0.0001475087,0.0008673645],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4544286,"threshold_uncertainty_score":0.7781914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02227956290266861,"score_gpt":0.2653720097802879,"score_spread":0.2430924468776193,"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."}}