{"id":"W2029049599","doi":"10.1016/j.talanta.2007.09.037","title":"Evaluation of semiquantitative analysis mode in ICP-MS","year":2007,"lang":"en","type":"article","venue":"Talanta","topic":"Analytical chemistry methods development","field":"Chemistry","cited_by":50,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Canada; Environment and Climate Change Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; Inductively coupled plasma mass spectrometry; Calibration; Reproducibility; Analytical Chemistry (journal); Detection limit; Mass spectrometry; Relative standard deviation; Inductively coupled plasma; Sample preparation; Chromatography; Statistics; Plasma","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":[0.02262622,0.002217094,0.0008179417,0.001689329,0.001372626,0.002248819,0.002265269,0.001970584,0.004785076],"category_scores_gemma":[0.0266418,0.001670892,0.0006880665,0.0009387057,0.00147031,0.002059741,0.001659362,0.00129368,0.002149462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00104888,"about_ca_system_score_gemma":0.001999888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001362597,"about_ca_topic_score_gemma":0.002973891,"domain_scores_codex":[0.9780216,0.007858305,0.001244877,0.002645233,0.009725798,0.0005042306],"domain_scores_gemma":[0.9651216,0.01925247,0.001182841,0.002949462,0.01115584,0.0003378398],"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":[0.002176127,0.0003282359,0.006300946,0.0007494964,0.000161761,0.0001757863,0.0004955917,0.001224276,0.9106396,0.003096791,0.001812837,0.07283852],"study_design_scores_gemma":[0.00004285289,0.0004484595,0.003413345,0.00004037483,0.0001016143,0.0007321833,0.0001204276,0.02248334,0.9675708,0.00079456,0.004188181,0.00006377047],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1033281,0.001330719,0.8816038,0.0004707923,0.0003343713,0.001152969,0.0005172075,0.005419805,0.005842121],"genre_scores_gemma":[0.2760828,0.00072536,0.7134212,0.0007636789,0.00009764114,0.001395476,0.0005250713,0.001586788,0.005401917],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02262622,"threshold_uncertainty_score":0.1196603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0712972231897961,"score_gpt":0.3984105011077943,"score_spread":0.3271132779179982,"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."}}