{"id":"W4243688675","doi":"10.1515/iupac.88.0770","title":"Euploid","year":2017,"lang":"fr","type":"dataset","venue":"IUPAC Standards Online","topic":"Carcinogens and Genotoxicity Assessment","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Relation (database); Computer science; Linguistics; Philosophy; Data mining","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":[0.001085282,0.001304415,0.001115588,0.003645686,0.0008925055,0.002363005,0.00198812,0.001328665,0.1245601],"category_scores_gemma":[0.006118535,0.0005708413,0.001284736,0.006067268,0.0004148633,0.002144133,0.00224134,0.001635233,0.134012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001142722,"about_ca_system_score_gemma":0.001843658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0153272,"about_ca_topic_score_gemma":0.02685847,"domain_scores_codex":[0.9987149,0.0001926963,0.0002367578,0.000411038,0.0002989675,0.0001456361],"domain_scores_gemma":[0.9973575,0.0007537992,0.0003812702,0.0007275417,0.000617748,0.0001620187],"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":[0.0001978746,0.00002485446,0.001721737,0.002053089,0.00005254333,0.00005692162,0.0000589596,0.0002594537,0.000507696,0.001579945,0.981198,0.01228898],"study_design_scores_gemma":[0.00008262782,0.00001199731,0.003310796,0.0003541916,0.00001991391,0.000063906,0.00005859408,0.00008117452,0.0002647883,0.0007965629,0.9949374,0.00001804511],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001899488,0.0001200604,0.0001337635,0.00006277049,0.00003131324,0.00001541866,0.9971126,0.0002686018,0.002065487],"genre_scores_gemma":[0.0003802841,0.0001362324,0.0003071536,0.0001035009,0.000006865151,0.00005693704,0.9975054,0.00008525013,0.001418445],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1245601,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01486635250234356,"score_gpt":0.4122944560733998,"score_spread":0.3974281035710562,"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."}}