{"id":"W4313420518","doi":"10.1016/j.chroma.2022.463717","title":"Determination of distribution coefficients of mercury and gold on selected extraction chromatographic resins - towards an improved separation method of mercury-197 from proton-irradiated gold targets","year":2022,"lang":"en","type":"article","venue":"Journal of Chromatography A","topic":"Radiopharmaceutical Chemistry and Applications","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia; University of Victoria; Simon Fraser University; TRIUMF","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canadian Cancer Society","keywords":"Chemistry; Mercury (programming language); Chromatography; Inductively coupled plasma mass spectrometry; Irradiation; Mass spectrometry; Analytical Chemistry (journal); Radiochemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004146666,0.0004930936,0.0003057291,0.0005179173,0.0003315586,0.0003962032,0.0005247288,0.0005309659,0.0009643437],"category_scores_gemma":[0.0006078216,0.0003573268,0.0003200397,0.0002252005,0.0003745722,0.000269111,0.0004022534,0.0005967282,0.0007532982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004133447,"about_ca_system_score_gemma":0.0004503973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002340043,"about_ca_topic_score_gemma":0.003908521,"domain_scores_codex":[0.9996046,0.00006497023,0.00001301528,0.0001040628,0.000162428,0.00005094823],"domain_scores_gemma":[0.9997675,0.00009076563,0.0000324935,0.00001763715,0.00006227465,0.00002920486],"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":[0.00004720226,0.000005541172,0.0001540027,0.00002979736,0.000008797673,0.00001619342,0.00002039499,0.00005811988,0.997405,0.00004847935,0.00002103299,0.002185442],"study_design_scores_gemma":[0.000003009515,0.00004223688,0.001747579,0.00000314503,0.00001506492,0.0001225937,0.00001419701,0.00113587,0.9960939,0.00002116759,0.0007950357,0.000006178611],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9007623,0.005353628,0.08819247,0.0002103442,0.00005465681,0.0001023265,0.0002941617,0.0006309848,0.004399184],"genre_scores_gemma":[0.94508,0.003134579,0.04426935,0.0001393624,0.00002386785,0.00006290595,0.0003801989,0.0001332514,0.006776425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002340043,"threshold_uncertainty_score":0.004652798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01749492668356224,"score_gpt":0.3459402761034087,"score_spread":0.3284453494198464,"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."}}