{"id":"W6930165767","doi":"10.5281/zenodo.10092284","title":"Antibody Characterization Report for Heterogeneous nuclear ribonucleoproteins A2/B1 (hnRNP A2/B1)","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Tea Polyphenols and Effects","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Ribonucleoprotein; Immunoprecipitation; Antibody; Monoclonal antibody; Knockout mouse; Set (abstract data type); Nuclear localization sequence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008678086,0.0002815121,0.0003813113,0.0003974744,0.001831428,0.0005129515,0.0005180515,0.0001603148,0.003498321],"category_scores_gemma":[0.001063742,0.0002879782,0.0001734916,0.000922267,0.0001471937,0.0002698752,0.0006774297,0.0002995623,0.00845213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001702426,"about_ca_system_score_gemma":0.00001263834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002259649,"about_ca_topic_score_gemma":3.077552e-7,"domain_scores_codex":[0.9972768,0.0001786606,0.0005089534,0.0007415673,0.0005661379,0.0007278161],"domain_scores_gemma":[0.9978899,0.0000328974,0.0002377426,0.0008368354,0.0006286968,0.0003739737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005322113,0.0003585941,0.00005584206,0.0005244074,0.0001925528,0.0006839724,0.001434357,0.00003654692,0.9152166,0.001240783,0.02222389,0.05750025],"study_design_scores_gemma":[0.00140457,0.0009798687,0.007673544,0.0001251991,0.00007334089,0.001299755,0.000140111,0.002584099,0.002869237,0.00006546218,0.9824643,0.0003205712],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9474822,0.00005999518,0.01689563,0.004302146,0.000635007,0.003897155,0.0007893918,0.005343539,0.02059492],"genre_scores_gemma":[0.9342335,0.0001425253,0.0003987868,0.0005320591,0.000791018,7.570731e-7,0.05662549,0.003154868,0.004120973],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9602404,"threshold_uncertainty_score":0.9999573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03539327686333643,"score_gpt":0.2874115765336414,"score_spread":0.2520182996703049,"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."}}