{"id":"W4394966305","doi":"10.1039/d4ja00045e","title":"Single particle analysis of polydisperse metal-bearing particles in cannabis vape liquids by organic mode ICP-MS","year":2024,"lang":"en","type":"article","venue":"Journal of Analytical Atomic Spectrometry","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Materials science; Metal; Particle (ecology); Bearing (navigation); Particle size; Analytical Chemistry (journal); Chemistry; Chromatography; Metallurgy; Physics; Physical chemistry","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":[0.0002739057,0.0004642057,0.0002968982,0.001447186,0.0007942682,0.0006398993,0.0006007768,0.0004603061,0.002738179],"category_scores_gemma":[0.0006179712,0.0002453931,0.0002847304,0.0004810361,0.0005201121,0.0003208668,0.0005010482,0.0004583487,0.0007176562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004423342,"about_ca_system_score_gemma":0.0006130718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00566248,"about_ca_topic_score_gemma":0.00863001,"domain_scores_codex":[0.9995808,0.00002334854,0.0000167969,0.00009667741,0.0002158507,0.00006660052],"domain_scores_gemma":[0.9996731,0.0001079902,0.00003557034,0.00003193301,0.0001246401,0.00002685323],"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":[0.00006348323,0.00001750971,0.0008238045,0.00004204445,0.00001469602,0.00007710535,0.00006695044,0.00006092628,0.9948265,0.0001259562,0.00009458774,0.003786448],"study_design_scores_gemma":[0.00000519691,0.00005055669,0.004003754,0.000006584061,0.00001327983,0.0001356444,0.00007839355,0.001302671,0.9925055,0.00007366703,0.001814026,0.00001072913],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9445686,0.001405251,0.04344418,0.0001390029,0.0001519077,0.0001870458,0.001791038,0.000747932,0.007564959],"genre_scores_gemma":[0.9521392,0.001263845,0.03515707,0.0001178881,0.00003777176,0.0001317399,0.0009299036,0.0001949289,0.01002772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00566248,"threshold_uncertainty_score":0.01125902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01065273357682827,"score_gpt":0.2609304215301681,"score_spread":0.2502776879533398,"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."}}