{"id":"W4253206623","doi":"10.1515/iupac.83.0349","title":"Competitive Binding Assay","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Genetics, Bioinformatics, and Biomedical Research","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); Process (computing); Computer science; Multidisciplinary approach; Data science; Component (thermodynamics); Management science; Engineering; Sociology; Biology; Linguistics; Mathematics; Social science","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":[0.003330898,0.002815282,0.004410494,0.004468597,0.001453798,0.003994374,0.005402297,0.002574909,0.05386911],"category_scores_gemma":[0.009850335,0.001003827,0.002413589,0.007861209,0.0006552525,0.001707445,0.002337964,0.003836791,0.08620288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002117418,"about_ca_system_score_gemma":0.003207298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01178166,"about_ca_topic_score_gemma":0.0242248,"domain_scores_codex":[0.9938895,0.0009856794,0.0008260478,0.00170932,0.002084166,0.0005053216],"domain_scores_gemma":[0.9948301,0.001439021,0.000790339,0.001234123,0.001344374,0.0003620652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001142946,0.0003648189,0.007832373,0.004360422,0.0003543998,0.000123898,0.00006229684,0.001181255,0.003839163,0.00270849,0.9568782,0.02115168],"study_design_scores_gemma":[0.0005166164,0.0002236297,0.01522635,0.0004886974,0.0003069998,0.0004507992,0.00009419165,0.001511389,0.005900018,0.003360755,0.9717644,0.00015613],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001701597,0.001477962,0.001862413,0.0002280988,0.0001478935,0.0002307116,0.9863056,0.001677453,0.006368325],"genre_scores_gemma":[0.002283621,0.0009040909,0.003334141,0.0003092719,0.00002800047,0.0005792747,0.9891537,0.0002215055,0.003186477],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05386911,"threshold_uncertainty_score":0.1802101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01551509021073669,"score_gpt":0.3894500314190001,"score_spread":0.3739349412082634,"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."}}