{"id":"W2027766652","doi":"10.3182/20131216-3-in-2044.00007","title":"Development of Toxicity Index to Evaluate the Level of Water Contamination by Using Cellular Responses","year":2013,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Health Services; University of Calgary; Alberta Health; University of Alberta","funders":"","keywords":"Toxicity; Contamination; Environmental science; Environmental chemistry; Index (typography); Toxicology; Chemistry; Biology; Computer science; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004719441,0.0001281243,0.0001731343,0.00005912176,0.00008640534,0.00001992564,0.0002040947,0.00009276321,0.00003415728],"category_scores_gemma":[0.00006288029,0.00008763311,0.00006424277,0.000113595,0.00007047252,0.000008624585,0.0001499338,0.00003825091,0.000005829801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002632674,"about_ca_system_score_gemma":0.00005696677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004188063,"about_ca_topic_score_gemma":0.00001106997,"domain_scores_codex":[0.9989812,0.00002124028,0.0003267931,0.0002259168,0.000245777,0.0001990287],"domain_scores_gemma":[0.9992247,0.000005586524,0.0001074121,0.0001271157,0.0004855806,0.00004956162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003136813,0.00002503574,0.009534248,0.00002212788,0.00008423391,2.778302e-8,0.0005528528,0.0000515225,0.9861503,0.000002885038,0.0008975061,0.002647953],"study_design_scores_gemma":[0.0001507734,0.00005311384,0.009785824,0.00001535971,0.00003540903,9.64254e-7,0.0003849942,0.001467684,0.9859394,0.00001979297,0.002027794,0.0001188343],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963035,0.0001475981,0.003111426,0.00009649099,0.00002502432,0.0002582305,0.000005074006,0.000004329006,0.00004830611],"genre_scores_gemma":[0.9963689,0.000004363405,0.002636476,0.00004912352,0.00003393768,0.00002650314,0.00001443924,0.00001461137,0.0008516349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002529119,"threshold_uncertainty_score":0.3573574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03128032024158326,"score_gpt":0.2627843591400389,"score_spread":0.2315040388984556,"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."}}