{"id":"W4247928772","doi":"10.1515/iupac.81.0081","title":"Attenuation (in Genetics)","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"History and advancements in chemistry","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Relation (database); Ecology; Computer science; Biology; Data mining; Linguistics; Philosophy","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":[0.0009863422,0.002238485,0.001531847,0.002515936,0.001159214,0.0034872,0.002247647,0.001967062,0.1289016],"category_scores_gemma":[0.009553206,0.000671084,0.001767636,0.004743338,0.0004681486,0.002122863,0.00212991,0.002262581,0.1454328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001295373,"about_ca_system_score_gemma":0.002089526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02499145,"about_ca_topic_score_gemma":0.03917684,"domain_scores_codex":[0.998337,0.0002505447,0.0001959797,0.0007275336,0.00028219,0.000206647],"domain_scores_gemma":[0.9964157,0.001123564,0.0004896164,0.001018583,0.0007043077,0.0002482557],"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":[0.0001879844,0.00003665841,0.01029683,0.001308281,0.00008647334,0.00006995835,0.00005470412,0.0003312419,0.0002447517,0.001503036,0.9754716,0.01040857],"study_design_scores_gemma":[0.0001874953,0.00002657198,0.01341634,0.0004900976,0.00007459136,0.0002055307,0.00009946051,0.0002841482,0.0003184376,0.002847017,0.9820134,0.000036869],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004147007,0.0002991842,0.0001908194,0.0001542758,0.00008191261,0.00001352825,0.9960912,0.0004465256,0.002307852],"genre_scores_gemma":[0.001701842,0.0003207172,0.000618919,0.0003875965,0.00002992972,0.0000878607,0.9933825,0.0001669112,0.003303805],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1289016,"threshold_uncertainty_score":0.4312187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01546718761722157,"score_gpt":0.3900024396106696,"score_spread":0.3745352519934481,"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."}}