{"id":"W4394504798","doi":"10.6084/m9.figshare.11558607","title":"Supplementary Material for: Screening for More than 1,000 Pesticides and Environmental Contaminants in Cannabis by GC/Q-TOF","year":2020,"lang":"en","type":"dataset","venue":"Figshare","topic":"GABA and Rice Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cannabis; Pesticide; Organochlorine pesticide; Contamination; Environmental chemistry; Environmental health; Environmental science; Chemistry; Psychology; Medicine; Psychiatry; Biology; Ecology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005092797,0.0002195535,0.0002698254,0.00001548583,0.0001540902,0.00009073847,0.0002952421,0.000180714,0.06226872],"category_scores_gemma":[0.0001047933,0.00009669462,0.00007046948,0.00005450251,0.00001938619,0.00005687122,0.0002186277,0.0001288443,0.00001629619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003222271,"about_ca_system_score_gemma":0.000008935149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001716251,"about_ca_topic_score_gemma":0.003241318,"domain_scores_codex":[0.9987758,0.00003115641,0.0001972958,0.0004017263,0.0001914761,0.0004025198],"domain_scores_gemma":[0.9995654,0.0001607002,0.00008164856,0.00004589573,0.00001116565,0.0001352415],"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":[0.00007356688,0.00002990114,0.0001120912,0.0001908259,0.00001266646,0.000009939396,0.00001196071,9.230732e-8,0.002416848,2.044835e-8,0.9943674,0.00277465],"study_design_scores_gemma":[0.0002883178,0.0003839063,0.011877,0.0002894883,0.00001478479,0.00000374686,0.0002762758,0.00001685261,0.0006298401,0.000001691345,0.9859867,0.0002313678],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.005686331,0.00007619402,2.74688e-8,0.000450137,0.00003986765,0.0009700445,0.9927697,0.000006933274,7.739151e-7],"genre_scores_gemma":[0.002230212,0.00003967413,0.00001293436,0.0001463537,0.0004123594,0.00063597,0.9964539,0.000002534246,0.00006604068],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06225242,"threshold_uncertainty_score":0.9385885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04158931168037216,"score_gpt":0.2763222473347399,"score_spread":0.2347329356543678,"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."}}