{"id":"W2061328916","doi":"10.1016/j.chroma.2011.07.003","title":"Development of normal phase-high performance liquid chromatography-atmospherical pressure chemical ionization-mass spectrometry method for the study of 6,6′-bis-(5,5,8,8-tetramethyl-5,6,7,8-tetrahydro-benzo[1,2,4]-triazin-3-yl)-[2,2′]-bipyridine hydrolytic degradation","year":2011,"lang":"en","type":"article","venue":"Journal of Chromatography A","topic":"Radioactive element chemistry and processing","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Moncton","funders":"LabEx GANEX","keywords":"Chemistry; Chromatography; High-performance liquid chromatography; Extraction (chemistry); Mass spectrometry; Hydrolysis; Chemical ionization; Atmospheric-pressure chemical ionization; Hexane; Actinide; Ionization; Organic chemistry; Nuclear 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":[0.0008503773,0.000863345,0.0006162064,0.0009122069,0.0004776646,0.0005191155,0.000829172,0.0008573001,0.001077935],"category_scores_gemma":[0.0008454025,0.0005124838,0.0004033585,0.0004876739,0.0004946598,0.0006770671,0.0003668371,0.001351958,0.001339117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003835795,"about_ca_system_score_gemma":0.001198323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009978942,"about_ca_topic_score_gemma":0.002713088,"domain_scores_codex":[0.9993296,0.00009143743,0.00003275911,0.0001703553,0.0003314183,0.00004449145],"domain_scores_gemma":[0.999456,0.0001212843,0.00008179608,0.0000447148,0.0002217948,0.00007436978],"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":[0.00003907874,0.00003210151,0.0002740921,0.00005724237,0.00001026041,0.00004286761,0.00001856294,0.00004819757,0.993897,0.0001665823,0.00009499018,0.005318907],"study_design_scores_gemma":[0.00001243681,0.0001528271,0.00243294,0.000006571573,0.0000234754,0.0006702828,0.00001632321,0.002741694,0.9905162,0.0001492826,0.003252212,0.00002572949],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.214559,0.01018098,0.7621942,0.0005131503,0.000409815,0.0004359725,0.0009960115,0.003213914,0.007497082],"genre_scores_gemma":[0.4069308,0.007614741,0.5705487,0.0007207951,0.0001522819,0.0008852995,0.002048526,0.0003241824,0.01077465],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001077935,"threshold_uncertainty_score":0.00449729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01909026646429747,"score_gpt":0.2717521469158191,"score_spread":0.2526618804515217,"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."}}