{"id":"W4247506026","doi":"10.1515/iupac.79.2094","title":"Systems Biology","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Toxicology; Chemistry; Biology; Philosophy; Linguistics","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":[0.001652653,0.002774504,0.001768864,0.003453842,0.001048908,0.003715663,0.003689321,0.001858106,0.103472],"category_scores_gemma":[0.008449413,0.0009237534,0.00266939,0.005072507,0.0004201517,0.00207904,0.002632449,0.002163187,0.1226282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0014816,"about_ca_system_score_gemma":0.003090948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01143263,"about_ca_topic_score_gemma":0.02434679,"domain_scores_codex":[0.9983609,0.0003346841,0.0002291501,0.0005152978,0.0004067863,0.0001531881],"domain_scores_gemma":[0.9970222,0.001054779,0.0002410184,0.0009485353,0.0005084485,0.0002250032],"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":[0.0001094796,0.0000248356,0.001428932,0.002332173,0.0001397084,0.00003825321,0.00003414943,0.001259385,0.0002183911,0.002293336,0.979205,0.01291631],"study_design_scores_gemma":[0.0001614243,0.0000222918,0.00212131,0.000551724,0.00006973643,0.00008720405,0.00003281642,0.001117895,0.000302679,0.005316963,0.9901854,0.00003050207],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001642636,0.0004763528,0.0007105254,0.0001383725,0.00005357514,0.00003387999,0.9939499,0.002066795,0.002406369],"genre_scores_gemma":[0.0005397832,0.0002945657,0.001109196,0.0001136085,0.000009110197,0.0001130035,0.9967572,0.0001888103,0.0008747366],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.103472,"threshold_uncertainty_score":0.3461484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008904584051264328,"score_gpt":0.3594597942768659,"score_spread":0.3505552102256016,"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."}}