{"id":"W4416354649","doi":"10.1039/d5an01073j","title":"Computational and design of experiment strategies to improve differentiation and quantitation of trace-level cannabinoids by copper cationization paper spray mass spectrometry","year":2025,"lang":"en","type":"article","venue":"The Analyst","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver Island University; University of Victoria","funders":"British Columbia Knowledge Development Fund; Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Mass spectrometry; Copper; Tandem mass spectrometry; Isobaric process; Ion-mobility spectrometry; Electrospray; Electrospray ionization; Analytical Chemistry (journal)","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":[0.003930662,0.0009845782,0.001185191,0.00073625,0.0005144706,0.001090267,0.00162505,0.001028733,0.004972042],"category_scores_gemma":[0.00539806,0.0006408457,0.001119591,0.0005177697,0.0005272022,0.0006557985,0.0007172101,0.001122411,0.0003611758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000873545,"about_ca_system_score_gemma":0.003987114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004216004,"about_ca_topic_score_gemma":0.005427481,"domain_scores_codex":[0.9993913,0.0002917791,0.00002604369,0.00009713553,0.0001069319,0.00008670854],"domain_scores_gemma":[0.9970531,0.002259756,0.000116614,0.0001595002,0.0003257589,0.0000851798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003670653,0.000229732,0.002106268,0.0002974156,0.0001606821,0.0001241,0.00004525142,0.9529011,0.004149606,0.01723891,0.001041007,0.02133887],"study_design_scores_gemma":[0.00004087984,0.00003929697,0.0000943224,0.000004094084,0.00002074952,0.00000548491,0.000006274061,0.9957009,0.0008360192,0.002835157,0.0004128468,0.000003948086],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06660081,0.0003125677,0.9252412,0.0005097365,0.00008124654,0.0003438983,0.0005711702,0.001296213,0.005043228],"genre_scores_gemma":[0.4767125,0.0003126767,0.5185993,0.000318294,0.00003774786,0.001221056,0.0007943388,0.0001911762,0.00181294],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004972042,"threshold_uncertainty_score":0.02078754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0136687093013573,"score_gpt":0.2769185352980974,"score_spread":0.2632498259967401,"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."}}