{"id":"W1971823140","doi":"10.1016/j.chroma.2005.10.008","title":"Direct analysis of gramicidin double helices using packed column supercritical fluid chromatography","year":2005,"lang":"en","type":"article","venue":"Journal of Chromatography A","topic":"Analytical Chemistry and Chromatography","field":"Chemistry","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Chemistry; Chromatography; Monomer; Dimer; Supercritical fluid chromatography; Supercritical fluid; Column chromatography; Solvent; Yield (engineering); Packed bed; Analytical Chemistry (journal); Organic chemistry; Polymer","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":[0.0005868496,0.0005769092,0.001915274,0.001803087,0.0002088496,0.0001276262,0.0008613569,0.0004422507,0.001851471],"category_scores_gemma":[0.00006576331,0.0005328336,0.00380672,0.0044615,0.0008087587,0.0005778783,0.00009542565,0.0005416283,0.000003965493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000741055,"about_ca_system_score_gemma":0.0001490283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008460227,"about_ca_topic_score_gemma":0.00002972769,"domain_scores_codex":[0.9952869,0.00007202903,0.002130962,0.0004990614,0.001236648,0.0007744063],"domain_scores_gemma":[0.9971006,0.0003063622,0.0006189516,0.0007164299,0.0006514001,0.0006062589],"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":[0.000512547,0.00156372,0.08934288,0.000658184,0.01227385,0.0001156376,0.0003802007,0.0005413659,0.8924488,0.001168395,0.0008232574,0.0001711178],"study_design_scores_gemma":[0.003305693,0.0001928033,0.003977735,0.0005846864,0.01053076,0.0003766708,0.00102322,0.003466068,0.9720274,0.0002974246,0.00327324,0.0009442654],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884177,0.00281212,0.0003557286,0.000101022,0.00007546358,0.00007423788,0.0001017672,0.00008775028,0.007974255],"genre_scores_gemma":[0.9966365,0.000351591,0.002438749,0.00008391935,0.0003777943,0.000005051955,0.00003143895,0.00005752186,0.00001741862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08536514,"threshold_uncertainty_score":0.9997123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01750348384507742,"score_gpt":0.2733009378629443,"score_spread":0.2557974540178669,"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."}}