{"id":"W3088644513","doi":"10.1002/elan.202060215","title":"Electrochemical Mechanisms in Potentiometric Phosphate Sensing Using Pure Cobalt, Molybdenum and their Alloy for Environmental Applications","year":2020,"lang":"en","type":"article","venue":"Electroanalysis","topic":"Analytical Chemistry and Sensors","field":"Chemical Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Alloy; Molybdenum; Cobalt; Electrochemistry; Phosphate; Potentiometric titration; Materials science; Nernst equation; Inorganic chemistry; Chemistry; Metallurgy; Electrode; Biochemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.00009108568,0.0002247558,0.0003735901,0.0001191457,0.00008376967,0.00002890315,0.0001295753,0.0001353858,0.00004786026],"category_scores_gemma":[0.00008140904,0.0002210823,0.0001935969,0.001030157,0.00003475326,0.00005808682,0.00004387551,0.0002720299,0.000004270626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000145463,"about_ca_system_score_gemma":0.00001306964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004682108,"about_ca_topic_score_gemma":0.00000141598,"domain_scores_codex":[0.9986351,0.00001530208,0.0003073218,0.0004568999,0.0001480429,0.0004373388],"domain_scores_gemma":[0.9994572,0.0001060921,0.00007003414,0.0001477197,0.0000164673,0.0002024897],"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":[0.0000301869,0.00002932111,0.00005747945,0.00002741882,0.0001602961,0.000001868497,0.00003726941,0.000595827,0.9978981,0.0002578833,0.000003961484,0.0009003593],"study_design_scores_gemma":[0.0002363534,0.0000167136,0.000005587836,0.000003295359,0.0001342366,0.000007369901,0.00006890565,0.4326949,0.5661018,0.000408421,0.0001570035,0.0001654515],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2563932,0.0007522365,0.742099,0.0003905976,0.000003446518,0.0002075389,0.0000171666,0.00006627428,0.0000704854],"genre_scores_gemma":[0.9950594,0.00005647816,0.004376999,0.0002078802,0.00007889129,0.00001367192,0.00007645887,0.00003176524,0.00009846837],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7386662,"threshold_uncertainty_score":0.9015474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009443725314831624,"score_gpt":0.2078935124707082,"score_spread":0.1984497871558766,"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."}}