{"id":"W4224233485","doi":"10.1039/d1an02327f","title":"Rapid separation of cannabinoid isomer sets using differential mobility spectrometry and mass spectrometry","year":2022,"lang":"en","type":"article","venue":"The Analyst","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Research, Innovation and Science","keywords":"Chemistry; Ion-mobility spectrometry; Mass spectrometry; Cannabinoid; Adduct; Structural isomer; Electrospray ionization; Tandem mass spectrometry; Solvent; Chromatography; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001476461,0.001722472,0.0007820924,0.002231307,0.001449805,0.0009781379,0.001022351,0.001181882,0.003286532],"category_scores_gemma":[0.001969993,0.0006114749,0.0005407291,0.001039571,0.0009028612,0.0009562324,0.001579672,0.002005483,0.001582208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001169745,"about_ca_system_score_gemma":0.001715575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00200771,"about_ca_topic_score_gemma":0.004337715,"domain_scores_codex":[0.9982187,0.0001779575,0.0000754557,0.0005296852,0.0007736566,0.0002245323],"domain_scores_gemma":[0.999144,0.0002817866,0.0000923797,0.00007097034,0.0003208907,0.00008997514],"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":[0.0001629305,0.00004195478,0.0005407501,0.000126917,0.00003522531,0.0001283903,0.00008348624,0.0001264357,0.9847766,0.001304285,0.0004453703,0.01222769],"study_design_scores_gemma":[0.00002337627,0.0001519135,0.00176818,0.00002404113,0.00002078141,0.0004513451,0.00006792274,0.003777794,0.9866006,0.0006982707,0.006364858,0.00005087901],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4552667,0.008347065,0.5056925,0.001523692,0.0007921665,0.001817682,0.003808445,0.004505576,0.01824618],"genre_scores_gemma":[0.5136513,0.006597608,0.4586816,0.001536779,0.0002006212,0.001841507,0.002496175,0.0004956457,0.01449883],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003286532,"threshold_uncertainty_score":0.01099455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02294603588955249,"score_gpt":0.3177839114271492,"score_spread":0.2948378755375967,"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."}}