{"id":"W2014460006","doi":"10.1021/ac051131r","title":"High-Throughput Screening for Enzyme Inhibitors Using Frontal Affinity Chromatography with Liquid Chromatography and Mass Spectrometry","year":2005,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Alberta","funders":"","keywords":"Chemistry; Chromatography; High-throughput screening; Mass spectrometry; Enzyme; Affinity chromatography; Ligand (biochemistry); Biochemistry; Receptor","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"],"consensus_categories":[],"category_scores_codex":[0.0001887115,0.000329777,0.0005674791,0.0001484133,0.000209267,0.0000536108,0.0001249055,0.0002017631,0.0003082246],"category_scores_gemma":[0.00005517532,0.0002608555,0.0002837766,0.0005232813,0.0005875378,0.000133608,0.00008520136,0.0004240742,0.000005085105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000576368,"about_ca_system_score_gemma":0.00009613155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001002365,"about_ca_topic_score_gemma":0.000006706515,"domain_scores_codex":[0.9978842,0.00001617941,0.0003642853,0.0005564902,0.0005334938,0.0006453188],"domain_scores_gemma":[0.9988596,0.0001509562,0.00008475436,0.0002777382,0.0001209467,0.0005060129],"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":[0.007885455,0.001007071,0.09055271,0.002331881,0.002498943,0.0003962304,0.0001667854,0.00008423952,0.8885257,0.0008314279,0.004552738,0.001166807],"study_design_scores_gemma":[0.005715376,0.001664319,0.007846787,0.0006848498,0.0008476142,0.0009512432,0.0004644954,0.01833339,0.9505942,0.0001988369,0.01161383,0.001085031],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916909,0.0008941543,0.003982175,0.001293314,0.00001930574,0.0002540899,0.00006150525,0.00007784203,0.001726744],"genre_scores_gemma":[0.9446495,0.00007877158,0.05353836,0.0002413116,0.001011689,0.0000137727,0.00009133196,0.00004335719,0.0003318975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08270592,"threshold_uncertainty_score":0.9999844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02352563730334287,"score_gpt":0.2947047198104098,"score_spread":0.2711790825070669,"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."}}