{"id":"W4394374174","doi":"10.6084/m9.figshare.20381880","title":"Additional file 3 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":"Biology; Selection (genetic algorithm); Genetics; Evolutionary biology; Computational biology; Computer science; 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":[0.001050577,0.001507688,0.001613578,0.002231386,0.001270839,0.001809959,0.002228984,0.001948241,0.4537088],"category_scores_gemma":[0.00714118,0.000652126,0.001302107,0.004004513,0.000456794,0.00118606,0.001283613,0.001444186,0.09079223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001016828,"about_ca_system_score_gemma":0.001702839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01554582,"about_ca_topic_score_gemma":0.0314053,"domain_scores_codex":[0.9994493,0.0000691207,0.00007210601,0.0002148118,0.00009040532,0.0001042142],"domain_scores_gemma":[0.9959485,0.002724716,0.000304375,0.0003541033,0.0004548841,0.0002134841],"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":[0.0003731652,0.0000897718,0.005153241,0.004259817,0.0001704649,0.0001604226,0.0001165375,0.0008600629,0.001213655,0.001029183,0.9827672,0.00380633],"study_design_scores_gemma":[0.004018185,0.0001723239,0.04083035,0.001826993,0.0003906704,0.0004673009,0.0003467989,0.001426006,0.001897551,0.006784539,0.9416775,0.0001618632],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001042329,0.00001178074,0.00004651926,0.00001762415,0.000005378092,0.000007881699,0.9995834,0.00007120146,0.0001520219],"genre_scores_gemma":[0.001229477,0.00003619873,0.0004840241,0.00008823864,0.000007776268,0.0001410668,0.9971059,0.0001189641,0.0007883653],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4537088,"threshold_uncertainty_score":0.7792181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02227873451466299,"score_gpt":0.2652746635183172,"score_spread":0.2429959290036542,"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."}}