{"id":"W1998923554","doi":"10.2174/1386207023330192","title":"Frontal Affinity Chromatography for the Screening of Mixtures","year":2002,"lang":"en","type":"article","venue":"Combinatorial Chemistry & High Throughput Screening","topic":"Analytical Chemistry and Chromatography","field":"Chemistry","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Biotinylation; Chemistry; Chromatography; Diastereomer; Mass spectrometry; Streptavidin; Affinity chromatography; Stereochemistry; Organic chemistry; Biotin; Biochemistry; Enzyme","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":[0.0003202319,0.0006410572,0.0008041838,0.00003981213,0.0007429012,0.000119736,0.001261858,0.0005625847,0.002852532],"category_scores_gemma":[0.0003618571,0.000552011,0.0009871888,0.000550857,0.0007284108,0.0002444868,0.0002886284,0.0007291461,0.000005662059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000412267,"about_ca_system_score_gemma":0.00002973073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001021284,"about_ca_topic_score_gemma":0.000001165858,"domain_scores_codex":[0.9966565,0.00002767187,0.0008934782,0.0008183754,0.0007686683,0.0008353516],"domain_scores_gemma":[0.9967913,0.001010519,0.0005436206,0.001114952,0.0002692329,0.0002703471],"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":[0.001192585,0.001700382,0.007731821,0.003698904,0.003591906,0.00005815721,0.0007578988,0.0004195155,0.928279,0.01013885,0.03629307,0.006137911],"study_design_scores_gemma":[0.003923891,0.00005909118,0.0001598181,0.0003201645,0.0005166504,0.00003363917,0.0005628529,0.002867771,0.970507,0.003682589,0.01650332,0.0008632045],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8920467,0.009588097,0.03799744,0.001271666,0.001654488,0.0008258866,0.0008421777,0.001243308,0.05453026],"genre_scores_gemma":[0.9941071,0.000104983,0.003289174,0.00005332303,0.001653936,0.00009571485,0.0001455019,0.00008917486,0.0004610962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1020604,"threshold_uncertainty_score":0.9996932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02276208054759294,"score_gpt":0.2338430161332268,"score_spread":0.2110809355856339,"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."}}