{"id":"W4312466564","doi":"10.31788/rjc.2022.1546653","title":"HEAVY METALS IN SEA FOOD: METHOD VALIDATION AND EVOLUTION BY INDUCTIVELY COUPLED PLASMA MASS SPECTROMETRY IN ACCORDANCE WITH COMMISSION REGULATION (EC) 333/2007, 582/2016","year":2022,"lang":"en","type":"article","venue":"RASAYAN Journal of Chemistry","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Intertek (Canada)","funders":"Amity University","keywords":"Repeatability; Reproducibility; Detection limit; Mercury (programming language); Inductively coupled plasma mass spectrometry; Cadmium; Analyte; Chemistry; Chromatography; European commission; Environmental chemistry; Mass spectrometry; Analytical Chemistry (journal); European union; Computer science","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":[0.01088945,0.0009688474,0.0007267746,0.001306866,0.001336087,0.001050333,0.001080518,0.001494721,0.0006099072],"category_scores_gemma":[0.007970945,0.0005661554,0.001253865,0.001081665,0.001220219,0.0003972515,0.001026116,0.0008440317,0.0006455699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008338026,"about_ca_system_score_gemma":0.003073093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005952068,"about_ca_topic_score_gemma":0.01030675,"domain_scores_codex":[0.9843068,0.003636465,0.001604899,0.002137547,0.007958458,0.0003557806],"domain_scores_gemma":[0.9957682,0.0005945103,0.000539627,0.0004905224,0.002560865,0.00004636628],"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":[0.0003651766,0.0004799705,0.01631927,0.0008542432,0.0001882706,0.0003780913,0.0009883496,0.003114697,0.9283178,0.0006368586,0.0007725573,0.04758476],"study_design_scores_gemma":[0.000074444,0.001902069,0.0206367,0.0001749947,0.0003055862,0.001407807,0.0003041761,0.01063739,0.9449375,0.0004742658,0.01901788,0.0001270887],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7257558,0.005048172,0.2581002,0.0004982659,0.0003923074,0.002695292,0.001418051,0.0008058063,0.005286056],"genre_scores_gemma":[0.5743036,0.003880811,0.4060897,0.0007061702,0.00008323607,0.004058205,0.002802819,0.000327936,0.007747517],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01088945,"threshold_uncertainty_score":0.05758965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008498189205450143,"score_gpt":0.2315732303425883,"score_spread":0.2230750411371382,"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."}}