{"id":"W2912782953","doi":"10.1080/10826076.2018.1564326","title":"Measurement of phosphate in small samples using capillary electrophoresis with laser-induced luminescence detection","year":2018,"lang":"en","type":"article","venue":"Journal of Liquid Chromatography & Related Technologies","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; Tetracycline; Capillary electrophoresis; Chromatography; Luminescence; Phosphate; Cuvette; Linear range; Capillary action; Analytical Chemistry (journal); Detection limit; Biochemistry; Optics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009172846,0.001241012,0.0007405956,0.00140638,0.0005177912,0.0008281683,0.00137346,0.001238907,0.001004549],"category_scores_gemma":[0.001692369,0.0005569468,0.0004357944,0.0009893643,0.0007808458,0.0005937927,0.0007483534,0.001208555,0.0004527766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006939708,"about_ca_system_score_gemma":0.001028826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002515484,"about_ca_topic_score_gemma":0.004705743,"domain_scores_codex":[0.9986412,0.0002176404,0.0000624588,0.0004153955,0.0005520016,0.000111226],"domain_scores_gemma":[0.9989048,0.0005736175,0.0001207532,0.00004703535,0.0002756489,0.00007811951],"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":[0.00006970053,0.00003221048,0.0002996201,0.0001304465,0.00001565898,0.00006029479,0.00003675371,0.0001245561,0.9929468,0.0001682083,0.00006639319,0.006049385],"study_design_scores_gemma":[0.00001441487,0.0001942106,0.001083732,0.00001546743,0.00002471675,0.0002821752,0.00002736132,0.004419224,0.9923589,0.0001521648,0.001400485,0.00002714629],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4120371,0.008369707,0.5709539,0.0003687464,0.0002889743,0.0009807174,0.001096413,0.002172087,0.003732381],"genre_scores_gemma":[0.5010768,0.00506765,0.4875995,0.0002842744,0.00007478178,0.001197526,0.0006133571,0.0001290525,0.00395713],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002515484,"threshold_uncertainty_score":0.005035162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01389119701710495,"score_gpt":0.2003005412716316,"score_spread":0.1864093442545266,"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."}}