{"id":"W2033140041","doi":"10.1016/j.cbi.2010.02.006","title":"Proposed mode of action of benzene-induced leukemia: Interpreting available data and identifying critical data gaps for risk assessment","year":2010,"lang":"en","type":"article","venue":"Chemico-Biological Interactions","topic":"Carcinogens and Genotoxicity Assessment","field":"Biochemistry, Genetics and Molecular Biology","cited_by":41,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Mode of action; Context (archaeology); Action (physics); Computational biology; Consistency (knowledge bases); Carcinogen; Computer science; Risk analysis (engineering); Bioinformatics; Biology; Chemistry; Business; Toxicology; Biochemistry","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":[0.005726442,0.001797356,0.001682867,0.004504782,0.0007796691,0.003145499,0.004018277,0.002414431,0.004789375],"category_scores_gemma":[0.003502645,0.0005227652,0.001878345,0.0006577258,0.001946783,0.003074846,0.0008764509,0.00222694,0.001503519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00211038,"about_ca_system_score_gemma":0.003592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002316622,"about_ca_topic_score_gemma":0.002448724,"domain_scores_codex":[0.9988146,0.0005096525,0.000131982,0.0002457736,0.0002286507,0.00006953298],"domain_scores_gemma":[0.99749,0.0009976749,0.0004008113,0.0002105932,0.0007185949,0.0001822936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.006007214,0.0017626,0.122813,0.01359767,0.002509913,0.005509297,0.001612874,0.04840933,0.270591,0.1703863,0.01821392,0.3385868],"study_design_scores_gemma":[0.001263456,0.01138602,0.07988252,0.002975362,0.007010125,0.03071854,0.003389117,0.1616408,0.1997924,0.4098483,0.09136266,0.0007306951],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.2138056,0.1266042,0.5870374,0.03093949,0.001832647,0.00277339,0.006384386,0.003584552,0.02703849],"genre_scores_gemma":[0.7688293,0.05200217,0.1680213,0.002374025,0.0005076751,0.001403927,0.00164539,0.00009117177,0.005125049],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.005726442,"threshold_uncertainty_score":0.0302847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1291280323605704,"score_gpt":0.4370166303135687,"score_spread":0.3078885979529984,"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."}}