{"id":"W4238573297","doi":"10.1515/iupac.81.0869","title":"Stress Proteins","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","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":[0.0008946694,0.002554935,0.001682854,0.003878827,0.001542712,0.002938423,0.002358134,0.002313463,0.05459794],"category_scores_gemma":[0.004239012,0.0007844596,0.001675735,0.00663909,0.0003961459,0.002379932,0.002306625,0.002566619,0.08377987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001696421,"about_ca_system_score_gemma":0.002393055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01171176,"about_ca_topic_score_gemma":0.02274426,"domain_scores_codex":[0.9988858,0.0001386004,0.0001645102,0.000384563,0.0002561746,0.0001702938],"domain_scores_gemma":[0.9984452,0.0003714073,0.0002570763,0.0003565554,0.0003867041,0.0001830328],"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":[0.0003185715,0.00004038249,0.003906651,0.003065558,0.00007451302,0.00007792761,0.00007227665,0.0004356704,0.0009221795,0.001279527,0.9799001,0.009906582],"study_design_scores_gemma":[0.0001562322,0.00003183569,0.009783478,0.000618208,0.00005277896,0.0002089653,0.000107111,0.0003694491,0.000696138,0.002435038,0.9855022,0.00003848634],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003689416,0.0005896969,0.0001093949,0.0001530861,0.00004776014,0.00001350781,0.9972361,0.0002793421,0.001202196],"genre_scores_gemma":[0.0005442656,0.0003179148,0.0003292244,0.00009241681,0.000007343715,0.00004792304,0.9980556,0.00003566293,0.0005698048],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05459794,"threshold_uncertainty_score":0.1826483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009621361321057618,"score_gpt":0.3448239213248922,"score_spread":0.3352025600038346,"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."}}