{"id":"W2144613388","doi":"10.1039/b814272f","title":"Photochemical vapor generation of iodine for detection by ICP-MS","year":2008,"lang":"en","type":"article","venue":"Journal of Analytical Atomic Spectrometry","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Detection limit; Nebulizer; Iodine; Chemistry; Mercury (programming language); Mercury-vapor lamp; Analytical Chemistry (journal); Aqueous solution; Chromatography; Materials science; Optoelectronics","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":[0.001230457,0.0007733362,0.0007160624,0.0006395378,0.0005532994,0.0004655753,0.000854055,0.00038771,0.001032109],"category_scores_gemma":[0.001268831,0.0005056006,0.0003735418,0.0004487207,0.0004684513,0.0002847863,0.0003960629,0.0006489556,0.000492529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006123398,"about_ca_system_score_gemma":0.0006546479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001569929,"about_ca_topic_score_gemma":0.002508887,"domain_scores_codex":[0.9989743,0.0002047093,0.0000507643,0.0002168747,0.0004583813,0.00009500032],"domain_scores_gemma":[0.9993863,0.0002493394,0.00006293583,0.00006888615,0.00020828,0.0000242404],"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":[0.0000271516,0.000008863709,0.000106665,0.00005415996,0.000004536215,0.00001943137,0.00001644271,0.00004832261,0.997626,0.00003229869,0.00002045127,0.002035707],"study_design_scores_gemma":[0.000002962668,0.0001010312,0.0004767721,0.000003211906,0.000008296268,0.00009026963,0.00001021567,0.0003824585,0.9981444,0.00002305891,0.0007534783,0.000003836944],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8005138,0.005109413,0.1872044,0.0001511298,0.00008118445,0.0007766284,0.0009195461,0.001093754,0.004150241],"genre_scores_gemma":[0.8131935,0.005138246,0.1768809,0.0000923309,0.00003955643,0.0005707957,0.0009525035,0.0002537559,0.002878437],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001569929,"threshold_uncertainty_score":0.006507397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01931212646725316,"score_gpt":0.2418573218883276,"score_spread":0.2225451954210745,"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."}}