{"id":"W2954457549","doi":"10.1007/s00216-019-01800-7","title":"Solution to titration endpoint challenge","year":2019,"lang":"en","type":"article","venue":"Analytical and Bioanalytical Chemistry","topic":"Chemical Synthesis and Characterization","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Titration; Analytical Chemistry (journal); Endpoint Determination; Medical laboratory; Chemistry; Chromatography; Medicine; Organic chemistry; Internal medicine","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00009861663,0.0001201902,0.0001550445,0.000008932741,0.00003823777,0.00003586979,0.00009127246,0.0001065306,0.006078674],"category_scores_gemma":[0.00005976492,0.00009724258,0.0000604674,0.0001531801,0.00008253543,0.00007932035,0.0001322751,0.0001002574,0.001241814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006719815,"about_ca_system_score_gemma":0.000004258451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001924133,"about_ca_topic_score_gemma":0.000002980463,"domain_scores_codex":[0.998978,0.000008056078,0.000189016,0.0003637999,0.000236217,0.000224901],"domain_scores_gemma":[0.9995027,0.00004053713,0.00002544236,0.0001649811,0.000008418652,0.000257926],"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":[0.00009656257,0.0003336859,0.01872388,0.00007645359,0.00004118879,0.000006405002,0.00005682132,0.00001728706,0.9589973,0.001992773,0.001773573,0.01788408],"study_design_scores_gemma":[0.001355144,0.0003692322,0.1366207,0.000115829,0.0003277925,0.00003235719,0.0001828252,0.1749012,0.4816641,0.004869027,0.1974724,0.002089398],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9193241,0.000009449062,0.0004257016,0.005558296,0.00001817545,0.0001007594,0.000005378342,0.00003360445,0.07452456],"genre_scores_gemma":[0.9962301,0.00001407805,0.0001374911,0.0003560145,0.0000671963,0.000003834408,0.00001437597,0.000006980382,0.003169988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4773332,"threshold_uncertainty_score":0.9995359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006567477432090649,"score_gpt":0.201702096238217,"score_spread":0.1951346188061263,"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."}}