{"id":"W3176135243","doi":"10.1142/9789811238031_0004","title":"Electrochemiluminescence Biochemical Sensors","year":2021,"lang":"en","type":"book-chapter","venue":"WORLD SCIENTIFIC eBooks","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Electrochemiluminescence; Computer science; Chemistry; Chromatography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002728785,0.001399778,0.0005255059,0.000993,0.0003729737,0.001377846,0.001519696,0.001206753,0.02233052],"category_scores_gemma":[0.000268553,0.0005603368,0.0004345781,0.0007845572,0.0004261037,0.001440991,0.001018852,0.00182084,0.02728478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006726588,"about_ca_system_score_gemma":0.0003120899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002830288,"about_ca_topic_score_gemma":0.0006301798,"domain_scores_codex":[0.999403,0.00003661146,0.00001765633,0.0001647601,0.0003205203,0.00005753456],"domain_scores_gemma":[0.9999183,0.00001736431,0.000007627006,0.00001303144,0.00003163915,0.00001203229],"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":[0.00008723592,0.00009421035,0.00009847761,0.0007130436,0.00001763467,0.0001356701,0.0001163624,0.0002761271,0.6796741,0.02245908,0.05075582,0.2455722],"study_design_scores_gemma":[0.000009245139,0.00008761001,0.0002586387,0.00005380172,0.00001357343,0.0004972336,0.00003135543,0.0008372645,0.5371397,0.002642138,0.4584089,0.00002052807],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02023903,0.04684148,0.3075434,0.002811589,0.003646042,0.0004228416,0.002886004,0.008420381,0.6071892],"genre_scores_gemma":[0.06512285,0.01883355,0.06593747,0.002394205,0.0003593207,0.0002874519,0.003093985,0.000673113,0.8432981],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02233052,"threshold_uncertainty_score":0.07470304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01169672893168103,"score_gpt":0.2450825772237949,"score_spread":0.2333858482921139,"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."}}