{"id":"W4415104427","doi":"10.1021/acs.oprd.5c00262","title":"Development of a Continuous Flow Synthesis of Ezogabine: Process Optimization and Scale-Up","year":2025,"lang":"en","type":"article","venue":"Organic Process Research & Development","topic":"Innovative Microfluidic and Catalytic Techniques Innovation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Xenon Pharmaceuticals (Canada); BioVectra (Canada)","funders":"","keywords":"Continuous flow; Flow chemistry; Batch processing; Process development; Continuous reactor; Process (computing); Process optimization; Flow (mathematics)","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":[],"consensus_categories":[],"category_scores_codex":[0.001210734,0.0001828612,0.0003266984,0.0006049385,0.0001395065,0.00002358688,0.0003040681,0.0001241564,0.00007228712],"category_scores_gemma":[0.0002726914,0.0001796502,0.00001320788,0.002162278,0.000161698,0.000137191,0.0001294693,0.0002258304,0.000003255734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002376019,"about_ca_system_score_gemma":0.001033717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001102777,"about_ca_topic_score_gemma":0.000001191674,"domain_scores_codex":[0.9981132,0.0000253722,0.0007302827,0.0002673505,0.0005267548,0.000337007],"domain_scores_gemma":[0.9982818,0.00006529532,0.00008661002,0.0001778504,0.00134824,0.0000401871],"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":[0.0001093346,0.0002444392,0.001378675,0.007752717,0.0003637391,0.000002538215,0.0125602,0.000480938,0.6346534,0.000807021,0.001249419,0.3403976],"study_design_scores_gemma":[0.0002478999,0.00001309894,0.0004979234,0.0005661363,0.000007423608,0.000002033019,0.001096322,0.001435414,0.994999,0.0001755083,0.0007952465,0.0001639737],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4222629,0.0004539731,0.5724061,0.00007345795,0.00009020313,0.0007508942,0.000007857213,0.0002023256,0.003752281],"genre_scores_gemma":[0.9546382,0.0000699361,0.04481076,0.000008854496,0.000007635102,0.0002160733,0.00002663354,0.00003002766,0.0001918983],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5323753,"threshold_uncertainty_score":0.7325925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01401339701203607,"score_gpt":0.2963693571678084,"score_spread":0.2823559601557723,"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."}}