{"id":"W4247364686","doi":"10.1515/iupac.83.0357","title":"Electrochemiluminescence Assay","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Glossary; Context (archaeology); Field (mathematics); Computer science; Process (computing); Multidisciplinary approach; Data science; Management science; Engineering; Biology; Sociology; Linguistics; Mathematics","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":[0.002182332,0.002173657,0.002263671,0.00437934,0.0008470922,0.003431682,0.003079407,0.001887766,0.03846431],"category_scores_gemma":[0.009238488,0.0006797856,0.001614926,0.007225776,0.0004837679,0.001802218,0.001867525,0.002634316,0.06383967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001791555,"about_ca_system_score_gemma":0.002113197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008712562,"about_ca_topic_score_gemma":0.0166121,"domain_scores_codex":[0.9965593,0.0004694991,0.0006077415,0.001080678,0.001036451,0.0002462766],"domain_scores_gemma":[0.9953459,0.001510254,0.000824953,0.0009637699,0.001164775,0.0001902676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003683315,0.00009201164,0.0077934,0.004114698,0.0001443637,0.00008261632,0.00005123129,0.0009036736,0.001282332,0.001882499,0.9677711,0.01551381],"study_design_scores_gemma":[0.000174896,0.00005439999,0.01238334,0.0005147173,0.00009433133,0.0002004826,0.00007661443,0.0006525939,0.002366143,0.002652586,0.9807664,0.00006349797],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005635722,0.0003677463,0.0006428314,0.0001078881,0.00004436274,0.00005746925,0.9949098,0.0008198195,0.002486521],"genre_scores_gemma":[0.001151668,0.0003177579,0.001235155,0.00013582,0.00001178654,0.0002215815,0.9954353,0.0001206728,0.001370221],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03846431,"threshold_uncertainty_score":0.1286759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006913527447988432,"score_gpt":0.3712263705781571,"score_spread":0.3643128431301687,"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."}}