{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001585857,0.001271808,0.001143376,0.00373074,0.001151273,0.001597657,0.002158915,0.001514248,0.6948978],"category_scores_gemma":[0.008584267,0.000881345,0.0008017306,0.003679678,0.0003030702,0.00154489,0.001750231,0.0009436116,0.2409185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001453216,"about_ca_system_score_gemma":0.002899891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006329678,"about_ca_topic_score_gemma":0.01371762,"domain_scores_codex":[0.9990135,0.000118189,0.0001156676,0.0002575908,0.0003846769,0.0001103142],"domain_scores_gemma":[0.9956584,0.002080526,0.0003222059,0.0004272171,0.001226012,0.0002856982],"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":[0.0006224114,0.000142411,0.001681682,0.003374305,0.00007384276,0.0002241311,0.00005996462,0.0005555886,0.00713896,0.001915384,0.9301756,0.05403574],"study_design_scores_gemma":[0.0005208253,0.0002059942,0.008140593,0.0007231031,0.00008839833,0.0004869021,0.00008394805,0.001352738,0.008326408,0.004811846,0.9751753,0.00008385859],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001141065,0.0004904855,0.005278983,0.0006398693,0.0004394022,0.0003059998,0.9753034,0.003916048,0.01248476],"genre_scores_gemma":[0.00613527,0.0008970094,0.01678167,0.0008370343,0.0001942627,0.0008722192,0.9509926,0.001717936,0.02157206],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6948978,"threshold_uncertainty_score":0.4351913,"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."}}