{"id":"W1592496415","doi":"","title":"Trace Element Analysis of Water with Inductively Coupled Plasma-Mass Spectrometry","year":2014,"lang":"en","type":"article","venue":"The Journal of Macrodynamic Analysis (Memorial University of Newfoundland)","topic":"Analytical chemistry methods development","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Memorial University of Newfoundland; Canada Research Chairs","keywords":"Inductively coupled plasma mass spectrometry; Style (visual arts); Trace element; Environmental chemistry; Chemistry; TRACE (psycholinguistics); Mass spectrometry; Inductively coupled plasma; Table (database); Agency (philosophy); Environmental science; Analytical Chemistry (journal); Mineralogy; Chromatography; Plasma; Archaeology; Geography; Computer science; Physics; Philosophy; Data mining","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.000633534,0.0007022681,0.0007375621,0.002217762,0.00114142,0.0006008504,0.0009978039,0.000363051,0.003233589],"category_scores_gemma":[0.0008016935,0.0002286557,0.0003439014,0.00216216,0.0006095027,0.0003929057,0.0007250413,0.0005275722,0.0009406046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001018841,"about_ca_system_score_gemma":0.001652736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04621302,"about_ca_topic_score_gemma":0.1125959,"domain_scores_codex":[0.9985164,0.0001351718,0.00007041833,0.0002676779,0.0008849503,0.0001253118],"domain_scores_gemma":[0.9997436,0.00002622017,0.00001941862,0.00001882085,0.000182811,0.000009063626],"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":[0.0001558658,0.00007249465,0.008999354,0.0002713109,0.0000720494,0.0001344225,0.0002857278,0.0003940224,0.9426312,0.0005586318,0.001427317,0.04499762],"study_design_scores_gemma":[0.00003476615,0.0003066814,0.02890094,0.00003920703,0.00009017147,0.0004000657,0.0002736346,0.003827814,0.9265504,0.0006632851,0.03886133,0.00005170911],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6026154,0.005738303,0.329801,0.0004475339,0.000206674,0.001286651,0.009403975,0.003119215,0.04738127],"genre_scores_gemma":[0.7148079,0.006682709,0.228142,0.0004839157,0.00005388072,0.001063248,0.005844772,0.0003702661,0.04255135],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.04621302,"threshold_uncertainty_score":0.09188807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00902313732752251,"score_gpt":0.2189899721840793,"score_spread":0.2099668348565568,"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."}}