{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002380579,0.0003234001,0.0002713954,0.00005657711,0.00009976585,0.00002246846,0.000354225,0.0004898756,0.0001478213],"category_scores_gemma":[0.0003055174,0.0002511673,0.0001534233,0.00007124957,0.0001431524,0.000001831987,0.0002458366,0.0002014332,0.000001476759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006822038,"about_ca_system_score_gemma":0.000246702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002062392,"about_ca_topic_score_gemma":0.0002389543,"domain_scores_codex":[0.9985096,0.00004584246,0.0002778553,0.0005551599,0.0003116665,0.0002998796],"domain_scores_gemma":[0.9983172,0.00001734361,0.0001876946,0.001059378,0.0003104539,0.0001079349],"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":[0.00004750849,0.0000863715,0.000001802961,0.00001866324,0.00003852934,0.000005000991,3.846446e-7,5.857058e-7,0.01380292,0.000006455355,0.9807939,0.005197855],"study_design_scores_gemma":[0.000321407,0.0001507406,0.000005759458,0.00007693596,0.00003274665,0.00001554759,0.000002458818,0.00000193325,0.007480682,0.0001380697,0.9914132,0.0003605008],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007212636,0.0003432802,0.009733958,0.0004310338,0.000152879,0.0002725832,0.9889035,0.00005141097,0.00003920812],"genre_scores_gemma":[0.0001230569,0.001473373,0.001748094,0.0003975747,0.001070829,0.00002639264,0.9944019,0.0000418907,0.0007169036],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0106193,"threshold_uncertainty_score":0.999994,"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."}}