{"id":"W2020241210","doi":"10.1007/s00216-005-3270-9","title":"Separation of linear gramicidins using carbon dioxide-containing mobile phases","year":2005,"lang":"en","type":"article","venue":"Analytical and Bioanalytical Chemistry","topic":"Analytical Chemistry and Chromatography","field":"Chemistry","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Carbon dioxide; Separation (statistics); Chromatography; Chemistry; Analytical Chemistry (journal); Environmental chemistry; Mathematics; Organic chemistry; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001668239,0.0004150051,0.0006995095,0.00005488725,0.0001253517,0.00003543898,0.0002577022,0.000408866,0.001433478],"category_scores_gemma":[0.0001678174,0.0003697262,0.0003719561,0.0004127687,0.0007220315,0.0001201669,0.0001329038,0.0004361652,0.000004096187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007937621,"about_ca_system_score_gemma":0.00007978039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005585969,"about_ca_topic_score_gemma":0.000003184907,"domain_scores_codex":[0.9974774,0.00001249139,0.0008350611,0.0006487588,0.0004640637,0.0005622054],"domain_scores_gemma":[0.9985421,0.0002164941,0.0001874074,0.0004267077,0.0001528947,0.00047445],"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":[0.0002621221,0.0007831111,0.01710402,0.0007317868,0.0005865567,0.00004500156,0.00006974937,0.000343481,0.9775699,0.0007309722,0.00004219032,0.001731111],"study_design_scores_gemma":[0.0006757877,0.00004724097,0.00003274658,0.000116301,0.0005969435,0.00006300422,0.0003052774,0.2294967,0.7665759,0.0002104953,0.00140754,0.000472139],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9700817,0.0004726907,0.0002618037,0.0001339152,0.000008887768,0.00004716653,0.0000385198,0.00008964921,0.02886568],"genre_scores_gemma":[0.9976958,0.00007508267,0.0005858676,0.00006463177,0.0004506665,0.000006392011,0.00005188379,0.00002888439,0.001040808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2291532,"threshold_uncertainty_score":0.9998755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0181223406928334,"score_gpt":0.2928587422958991,"score_spread":0.2747364016030657,"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."}}