{"id":"W3047902437","doi":"10.1149/1945-7111/abad6c","title":"Review—Potentiometric Determination of Phosphate Using Cobalt: A Review","year":2020,"lang":"en","type":"review","venue":"Journal of The Electrochemical Society","topic":"Analytical Chemistry and Sensors","field":"Chemical Engineering","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Economic Development, Job Creation and Trade","keywords":"Cobalt; Potentiometric titration; Phosphate; Electroanalytical method; Zirconium phosphate; Inorganic chemistry; Electrochemistry; Chemistry; Electrode; Materials science; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005934705,0.0004200327,0.002815326,0.00003329898,0.00004913224,0.000010268,0.0009531001,0.0003637355,0.00008801958],"category_scores_gemma":[0.002228045,0.0002634549,0.004627727,0.002129869,0.00009174689,0.00007203074,0.0001578176,0.001713988,0.000004411862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005121839,"about_ca_system_score_gemma":0.0002693236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.478981e-7,"about_ca_topic_score_gemma":8.249067e-9,"domain_scores_codex":[0.9967414,0.00009840079,0.001906878,0.0002458527,0.0006665034,0.0003409788],"domain_scores_gemma":[0.9964611,0.0003243518,0.002348495,0.0003261033,0.0003355096,0.0002044546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001237143,0.0001624023,5.572771e-7,0.7226837,0.001262518,0.00001389813,0.00001828208,8.734437e-7,0.02741956,0.00002338247,0.007306606,0.2410958],"study_design_scores_gemma":[0.0001514938,0.0000297684,2.723676e-8,0.2392732,0.006814384,0.0004266174,0.000001686453,0.0008648213,0.01145043,0.00003503844,0.740628,0.0003245547],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[9.924398e-7,0.9924009,0.006886269,0.0002736069,0.00007381711,0.0002865046,0.00000796867,0.00001218328,0.00005772651],"genre_scores_gemma":[0.000004538629,0.9962808,0.002656437,0.0006123835,0.0003038602,0.000003327863,0.000008354744,0.00004465686,0.00008560153],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7333214,"threshold_uncertainty_score":0.9999818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03231515240137758,"score_gpt":0.3146963099606953,"score_spread":0.2823811575593177,"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."}}