{"id":"W2767767149","doi":"10.1021/acs.analchem.7b04329","title":"Advances in Microchip Liquid Chromatography","year":2017,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":94,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Chemistry; Chromatography; Hydrophilic interaction chromatography; High-performance liquid chromatography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003537183,0.00009739865,0.000122876,0.00001718235,0.00007929123,0.00003570595,0.0002693465,0.00007313897,0.0001729104],"category_scores_gemma":[0.00001404273,0.000100097,0.00005895867,0.00006533524,0.00008366656,0.00007585372,0.00002536232,0.0001328378,0.00003235532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002193861,"about_ca_system_score_gemma":0.000009405167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003515505,"about_ca_topic_score_gemma":0.00000135417,"domain_scores_codex":[0.9994569,0.00000184695,0.0001324564,0.000141032,0.00006515408,0.0002025831],"domain_scores_gemma":[0.9994906,0.00001106824,0.00001812278,0.00039948,0.00001115195,0.00006962004],"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":[0.00001320219,0.00003805963,0.00188363,0.0001432472,0.0000231986,0.0000137122,0.00001577591,0.00001214071,0.9824587,0.0008246697,0.01363464,0.0009390517],"study_design_scores_gemma":[0.0002457118,0.00001116725,0.00193166,0.00003716893,0.00001913117,0.00001167554,0.0000202261,0.0009383535,0.8405159,0.0008272605,0.1551614,0.0002803142],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8410708,0.02600014,0.0002996478,0.0001524209,0.00001931471,0.00004620641,0.000005127345,0.00009631926,0.13231],"genre_scores_gemma":[0.9619723,0.03778112,0.00001619763,0.00001905404,0.00006149654,0.00001310153,0.00000763879,0.00001273955,0.0001163731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1419428,"threshold_uncertainty_score":0.4081835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005318983624865255,"score_gpt":0.2290198100114279,"score_spread":0.2237008263865627,"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."}}