{"id":"W1982572112","doi":"10.1021/ac902546y","title":"Non-Orthogonal-to-the-Flow Electric Field Improves Resolution in the Orthogonal Direction: Hidden Reserves for Combining Synthesis and Purification in Continuous Flow","year":2010,"lang":"en","type":"letter","venue":"Analytical Chemistry","topic":"Innovative Microfluidic and Catalytic Techniques Innovation","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microreactor; Chemistry; Flow (mathematics); Continuous flow; Electric field; Field (mathematics); Resolution (logic); Analytical Chemistry (journal); Mechanics; Chromatography; Computer science; Artificial intelligence; Physics; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001130223,0.0005042299,0.0005026358,0.0002583136,0.0004376466,0.001040597,0.0006359002,0.001900345,0.0009680475],"category_scores_gemma":[0.001403769,0.00034506,0.000215686,0.0002029771,0.001861536,0.001613107,0.0006681828,0.001153457,0.0007701188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007114795,"about_ca_system_score_gemma":0.0003550419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001415669,"about_ca_topic_score_gemma":0.0003806725,"domain_scores_codex":[0.9994715,0.0001295013,0.00002965327,0.00008585927,0.0002152896,0.00006814813],"domain_scores_gemma":[0.9994685,0.0003188088,0.00004428009,0.00006587159,0.00006490046,0.0000375218],"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":[0.0005219426,0.000192663,0.0006785204,0.0004578004,0.00001729612,0.002270104,0.0002136948,0.00127408,0.8869267,0.06263491,0.004143998,0.04066821],"study_design_scores_gemma":[0.0001865362,0.0005099871,0.0006535095,0.00004486232,0.00001982975,0.002509156,0.0001219273,0.03375347,0.9064446,0.02344758,0.03224658,0.00006200928],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6352468,0.01954706,0.2586636,0.02286956,0.002285217,0.0003015283,0.0001496226,0.0007092148,0.06022745],"genre_scores_gemma":[0.9062064,0.005815474,0.07965539,0.002242829,0.0005024667,0.000135648,0.00005534795,0.0000525368,0.005334015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001900345,"threshold_uncertainty_score":0.005977273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01026136806280761,"score_gpt":0.2337067254697698,"score_spread":0.2234453574069622,"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."}}