{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002541901,0.0001017026,0.0002507306,0.0001229223,0.0000128011,0.000004544719,0.0001307328,0.00009185914,0.001591819],"category_scores_gemma":[0.0005229737,0.00009978421,0.00008690896,0.0006071498,0.00004840356,0.00003643049,0.00004018,0.0001193589,0.000009730906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002359048,"about_ca_system_score_gemma":0.00008183819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001268597,"about_ca_topic_score_gemma":0.0002354777,"domain_scores_codex":[0.9985074,0.0000422597,0.0003795621,0.0002173912,0.0006622652,0.0001911007],"domain_scores_gemma":[0.9991517,0.0002398137,0.0001205758,0.0002271098,0.0002028887,0.0000578777],"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":[0.0001347811,0.0003276878,0.1662642,0.0001777218,0.001504645,0.00002777381,0.002216929,0.002140917,0.8133889,0.000651077,0.00006215186,0.01310318],"study_design_scores_gemma":[0.0005211622,0.000004799124,0.02207705,0.00003847183,0.0009039405,0.000001926031,0.0006230096,0.04473432,0.9291027,0.001762193,0.00005069795,0.0001797266],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.900851,0.00006342746,0.009210472,0.00001766151,0.000008556578,0.00003391864,0.00001232851,0.00001510067,0.08978759],"genre_scores_gemma":[0.9947336,0.000007084174,0.004701039,0.000008060908,0.00001819105,0.000004662062,0.00005353335,0.000007529755,0.0004663194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1441872,"threshold_uncertainty_score":0.9993209,"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."}}