{"id":"W2608983406","doi":"10.1089/gen.37.09.08","title":"Validating Antibodies for Specificity","year":2017,"lang":"en","type":"article","venue":"Genetic Engineering & Biotechnology News","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Olds College","funders":"","keywords":"Download; Officer; Volume (thermodynamics); Computational biology; Library science; Biology; World Wide Web; Computer science; Political science; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.0001093313,0.0002163872,0.0002211787,0.00008910638,0.0002996144,0.00006054985,0.0004797672,0.0004131116,9.085917e-7],"category_scores_gemma":[0.0004004796,0.0002093405,0.0001342818,0.00004418572,0.0001661169,0.000003905421,0.0002236397,0.0001231603,0.000002511955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000137391,"about_ca_system_score_gemma":0.00001608981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001351919,"about_ca_topic_score_gemma":0.0000249496,"domain_scores_codex":[0.998886,0.000007459655,0.0002226889,0.0004693009,0.00006687718,0.0003477081],"domain_scores_gemma":[0.9986944,0.00001016325,0.0001546405,0.001036922,0.00005876962,0.00004511718],"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":[0.00001140995,0.00001465296,0.001051255,0.00001588212,0.00004958407,0.000003431247,0.000002722124,0.0001068619,0.982085,0.0002087708,0.0004546398,0.01599574],"study_design_scores_gemma":[0.0002045429,0.0001428448,0.002039575,0.00001910436,0.00002772235,0.00002622561,0.00001545445,0.0007548414,0.964099,0.0001627008,0.03224014,0.0002678122],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7854996,0.0004223372,0.2122955,0.0008872966,0.0002191273,0.0002591581,0.0000270558,0.00023177,0.0001581508],"genre_scores_gemma":[0.8226051,0.0004841392,0.1763513,0.00004891882,0.0002591732,0.00001890626,0.00002669406,0.00003058618,0.0001752422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03710552,"threshold_uncertainty_score":0.8536657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01273828864157398,"score_gpt":0.2703697425375569,"score_spread":0.2576314538959829,"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."}}