{"id":"W2626320195","doi":"10.1007/s00216-017-0308-8","title":"Solution to redox titration challenge","year":2017,"lang":"en","type":"article","venue":"Analytical and Bioanalytical Chemistry","topic":"Advanced Nanomaterials in Catalysis","field":"Materials Science","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Redox titration; Titration; Redox; Chemistry; Analytical Chemistry (journal); Environmental chemistry; Nanotechnology; Biochemical engineering; Inorganic chemistry; Materials science; Engineering","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":[0.000300031,0.0001789546,0.0003002383,0.00002534866,0.0004048458,0.0002959723,0.0003745925,0.0001512307,0.0008886515],"category_scores_gemma":[0.0006528882,0.0001482642,0.00007898392,0.00006379587,0.000403662,0.0002317549,0.0003027028,0.00009437864,0.0003015343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005097851,"about_ca_system_score_gemma":0.00002675626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002952458,"about_ca_topic_score_gemma":0.000008442574,"domain_scores_codex":[0.998506,0.00001388788,0.0003064611,0.0005342821,0.0002822886,0.0003570718],"domain_scores_gemma":[0.9987445,0.00005468304,0.0001000447,0.0006763861,0.00008244571,0.0003419325],"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":[0.00006801267,0.00008698921,0.0002604669,0.00006301344,0.00002364959,0.00002376986,0.00001808895,0.000003708772,0.9942563,0.002184725,0.0004600192,0.002551294],"study_design_scores_gemma":[0.0003984777,0.0000787797,0.001592593,0.00005318763,0.0001898917,0.00002155583,0.00003265233,0.005197717,0.9821351,0.004219844,0.005591223,0.0004890046],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9588959,0.00009314212,0.00340294,0.0115025,0.0001615073,0.0001385613,0.00005029422,0.0001157824,0.02563935],"genre_scores_gemma":[0.9964502,0.00003236175,0.001486653,0.0001415244,0.000336362,0.00000892275,0.00001116015,0.00001144546,0.001521335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03755431,"threshold_uncertainty_score":0.9730111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02317373221317405,"score_gpt":0.2972627534946037,"score_spread":0.2740890212814297,"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."}}