{"id":"W4249307599","doi":"10.1515/iupac.83.0421","title":"Multiplex Assay","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Advanced Biosensing Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Glossary; Context (archaeology); Computer science; Multidisciplinary approach; Field (mathematics); Process (computing); 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":[0.002712028,0.002896201,0.002138999,0.003811502,0.001069368,0.004121856,0.003637733,0.001890019,0.05186855],"category_scores_gemma":[0.009792884,0.0009729397,0.001895991,0.005925626,0.0005454287,0.002345096,0.002530205,0.002819552,0.09214536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002025269,"about_ca_system_score_gemma":0.002615973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01098274,"about_ca_topic_score_gemma":0.01919931,"domain_scores_codex":[0.9960026,0.0005732199,0.000604127,0.00136731,0.001129102,0.0003236037],"domain_scores_gemma":[0.9954553,0.001166862,0.0006900888,0.00138928,0.001042677,0.0002557441],"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":[0.0003869286,0.00007166524,0.004369332,0.001996933,0.0001126204,0.00005361718,0.00003707576,0.0007167367,0.0008214474,0.001800128,0.9727929,0.01684063],"study_design_scores_gemma":[0.0002082412,0.00004635149,0.007810385,0.0004121003,0.00007795315,0.0001984526,0.0000585363,0.0009141702,0.001819151,0.002929742,0.9854617,0.00006321924],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000421975,0.0003480407,0.0009258213,0.00009993812,0.00005147132,0.00006362784,0.9943144,0.001618766,0.002155955],"genre_scores_gemma":[0.0008196213,0.0002279071,0.001621212,0.0001300178,0.00001236369,0.0001972646,0.995587,0.0001569114,0.001247659],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05186855,"threshold_uncertainty_score":0.1735176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01168565931562105,"score_gpt":0.4062505499670726,"score_spread":0.3945648906514516,"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."}}