{"id":"W4249587252","doi":"10.1515/iupac.79.1540","title":"IgPow","year":2016,"lang":"pl","type":"dataset","venue":"IUPAC Standards Online","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Toxicology; Library science; Chemistry; Philosophy; Biology; Linguistics; Organic chemistry","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":[0.00117313,0.001840074,0.001495108,0.003837768,0.0007904686,0.003289549,0.002636053,0.001811858,0.2158864],"category_scores_gemma":[0.007668501,0.0005941817,0.001844196,0.005407144,0.0003714145,0.002078648,0.00239862,0.001508395,0.2987198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001329501,"about_ca_system_score_gemma":0.002444313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009587278,"about_ca_topic_score_gemma":0.0216685,"domain_scores_codex":[0.9987269,0.0002185307,0.0001740859,0.0004745861,0.0002352697,0.0001706066],"domain_scores_gemma":[0.9976731,0.0006393384,0.0002301256,0.0006975998,0.0005330968,0.0002268367],"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":[0.000121624,0.00002016579,0.001015237,0.001252504,0.00005575431,0.00002196215,0.00002235844,0.0002294519,0.00012723,0.0006557542,0.9887238,0.007754192],"study_design_scores_gemma":[0.0001903385,0.00002463481,0.002220353,0.000401777,0.0000403929,0.00005247839,0.00004843872,0.0002732945,0.0002102944,0.001550533,0.9949679,0.00001963045],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009153971,0.0001088503,0.00009727954,0.00006984387,0.00002699403,0.00002047336,0.9973551,0.0006897258,0.00154025],"genre_scores_gemma":[0.0002898116,0.00009961011,0.000362173,0.0001168057,0.00001087399,0.00009530578,0.9977556,0.0001296359,0.001140145],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2158864,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02787427010228039,"score_gpt":0.4658184849058735,"score_spread":0.4379442148035931,"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."}}