{"id":"W4320914674","doi":"10.56530/lcgc.na.pe3372w9","title":"The 2023 Lifetime Achievement and Emerging Leader in Chromatography Awards","year":2023,"lang":"en","type":"article","venue":"LCGC North America","topic":"Analytical Chemistry and Chromatography","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Middlesex London Health Unit","funders":"","keywords":"Honor; Chemistry; Chromatography; Computer science","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":[0.01128164,0.001260381,0.00123542,0.00193572,0.003843168,0.01017178,0.001857123,0.004926885,0.09337545],"category_scores_gemma":[0.008799061,0.0006039192,0.001237841,0.001132932,0.001189901,0.00291647,0.005850596,0.007359908,0.07023054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004839966,"about_ca_system_score_gemma":0.0248335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004617192,"about_ca_topic_score_gemma":0.01476979,"domain_scores_codex":[0.9910301,0.0005109582,0.0001427358,0.0004171671,0.005913473,0.001985558],"domain_scores_gemma":[0.9722707,0.000280447,0.0004292171,0.0003150607,0.01033373,0.01637088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006905274,0.00006530304,0.0002804539,0.00003795933,0.000005972094,0.00009039425,0.00002294496,0.00003247063,0.0006171879,0.003118395,0.9701053,0.02555457],"study_design_scores_gemma":[0.00002579306,0.00009009405,0.00058767,0.00004293486,0.000005414197,0.000116349,0.00007911675,0.0001299148,0.0005389398,0.0009269285,0.9974416,0.0000153141],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.007728859,0.02134313,0.00903431,0.2600532,0.3791879,0.0008500175,0.003021301,0.00204415,0.316737],"genre_scores_gemma":[0.01898778,0.01066736,0.007157188,0.0394875,0.03224613,0.0003098903,0.0035007,0.001022956,0.8866205],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.09337545,"threshold_uncertainty_score":0.312372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007768006980499706,"score_gpt":0.2337684958283165,"score_spread":0.2260004888478168,"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."}}