{"id":"W4239707967","doi":"10.26434/chemrxiv.7607078","title":"Accurate Kd via Transient Incomplete Separation","year":2019,"lang":"en","type":"preprint","venue":"ChemRxiv","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Chemistry; Molecule; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002613514,0.001614792,0.001861434,0.001440419,0.001040214,0.002691278,0.00379977,0.001821346,0.01057982],"category_scores_gemma":[0.008389144,0.001546883,0.001092567,0.001457486,0.001538504,0.005312437,0.003041715,0.005184265,0.008477452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003795044,"about_ca_system_score_gemma":0.002916106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0038246,"about_ca_topic_score_gemma":0.003743934,"domain_scores_codex":[0.9973295,0.0002533405,0.0001510411,0.001043749,0.0009975933,0.0002247797],"domain_scores_gemma":[0.9968837,0.0008870965,0.0002536657,0.001219148,0.0006462131,0.000110048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007126274,0.0004220915,0.001886278,0.001451786,0.0001876164,0.0005257039,0.0006066574,0.06876242,0.2866098,0.3936684,0.03724691,0.2079197],"study_design_scores_gemma":[0.00008342515,0.0001906073,0.0006366762,0.00008478967,0.00006759951,0.0004348142,0.00008750446,0.5204353,0.2998194,0.1038833,0.07409061,0.0001859553],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01251018,0.0008897975,0.9673536,0.0008236929,0.0004908168,0.0001058585,0.0007333384,0.006234274,0.01085846],"genre_scores_gemma":[0.3181372,0.003338344,0.6221709,0.002428016,0.0002949052,0.0008303938,0.003154936,0.00435382,0.04529154],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01057982,"threshold_uncertainty_score":0.03539306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01449205901686196,"score_gpt":0.2405429824548683,"score_spread":0.2260509234380064,"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."}}