{"id":"W4288691577","doi":"10.1002/rcm.9370","title":"Challenges in measuring nitrogen isotope signatures in inorganic nitrogen forms: An interlaboratory comparison of three common measurement approaches","year":2022,"lang":"en","type":"article","venue":"Rapid Communications in Mass Spectrometry","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"European Social Fund; European Association of National Metrology Institutes","keywords":"Chemistry; Nitrogen; Isotopes of nitrogen; Environmental chemistry; Analytical Chemistry (journal); Organic 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":[0.120608,0.001757479,0.001682299,0.003066503,0.00201211,0.004521627,0.00394275,0.003542667,0.0005033476],"category_scores_gemma":[0.07695274,0.0009602275,0.001350485,0.003005597,0.005983645,0.0014409,0.004740684,0.001644648,0.0004366003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002669246,"about_ca_system_score_gemma":0.004984208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007282232,"about_ca_topic_score_gemma":0.00924095,"domain_scores_codex":[0.8234342,0.09088209,0.01465565,0.02742129,0.0421292,0.001477525],"domain_scores_gemma":[0.9026773,0.03582117,0.01385344,0.01597344,0.03041503,0.001259646],"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":[0.003707828,0.001258872,0.3172712,0.004231451,0.003278977,0.0003653829,0.00656876,0.01063988,0.4068105,0.003770434,0.00196049,0.2401363],"study_design_scores_gemma":[0.0003721363,0.0130196,0.3387272,0.00210225,0.002562759,0.002119681,0.005009898,0.02249809,0.5550997,0.01374764,0.04388751,0.0008534847],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6004863,0.02126628,0.3577668,0.003149188,0.001048309,0.003372178,0.002367295,0.0007373631,0.009806352],"genre_scores_gemma":[0.6841006,0.003732765,0.3028062,0.002274372,0.0003004592,0.002459335,0.002084497,0.0002208758,0.002020896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.120608,"threshold_uncertainty_score":0.637844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1204066105560712,"score_gpt":0.2877015162407945,"score_spread":0.1672949056847233,"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."}}