{"id":"W3129495462","doi":"10.21203/rs.3.rs-129441/v1","title":"Single-run separation and quantification of 14 cannabinoids using affinity non-aqueous capillary electrophoresis","year":2020,"lang":"en","type":"preprint","venue":"Research Square","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Capillary electrophoresis; Chromatography; Cannabis; High-performance liquid chromatography; Synthetic cannabinoids; Detection limit; Chemistry; Mass spectrometry; Cannabinoid; Capillary electrochromatography; Medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.001041053,0.001159757,0.0007033445,0.001349263,0.0007021376,0.0008482416,0.0008667071,0.001142919,0.001168033],"category_scores_gemma":[0.001594588,0.0003277639,0.0004357076,0.0005348371,0.0008387859,0.0005894717,0.0005159855,0.000896167,0.0008851899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008199641,"about_ca_system_score_gemma":0.001812345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003627724,"about_ca_topic_score_gemma":0.005405908,"domain_scores_codex":[0.9987851,0.0002228861,0.0000745335,0.000322824,0.0004531885,0.0001415117],"domain_scores_gemma":[0.9986541,0.000522844,0.0001131677,0.00009251184,0.0004852574,0.0001320865],"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":[0.00008832738,0.00008192821,0.0003852902,0.0001217194,0.00002499799,0.00004618714,0.00004248321,0.000104818,0.9887012,0.0003204305,0.0001763552,0.009906208],"study_design_scores_gemma":[0.00001473719,0.0002239562,0.001724359,0.00001703672,0.00003810701,0.000272839,0.00003283799,0.003298804,0.9915685,0.0002033418,0.002566661,0.00003879847],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5076355,0.01070145,0.4707119,0.0006508045,0.0004805812,0.001001042,0.0008179084,0.003343128,0.004657764],"genre_scores_gemma":[0.5099242,0.004049013,0.473553,0.0006793283,0.0001283943,0.0008123753,0.0009291989,0.0002546572,0.009669888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003627724,"threshold_uncertainty_score":0.007213175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09493901889950147,"score_gpt":0.4105674168938506,"score_spread":0.3156283979943492,"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."}}