{"id":"W2160845585","doi":"10.1038/msb.2009.83","title":"Strategies for cellular decision‐making","year":2009,"lang":"en","type":"review","venue":"Molecular Systems Biology","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":338,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; Ottawa Hospital Research Institute","keywords":"Biology; Probabilistic logic; Context (archaeology); Computational biology; Computer science; Risk analysis (engineering); Artificial intelligence; Business","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0005780082,0.0008343736,0.002231355,0.0002879727,0.000140427,0.0001253594,0.0008598428,0.001581577,0.000007461234],"category_scores_gemma":[0.00008179055,0.0007172969,0.001583131,0.0003134339,0.0001099127,0.000003207155,0.0001965605,0.0002150193,0.00003266883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006827058,"about_ca_system_score_gemma":0.000518168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006134652,"about_ca_topic_score_gemma":0.000007664175,"domain_scores_codex":[0.9961087,0.0005521792,0.001110548,0.001325502,0.0001622526,0.0007407943],"domain_scores_gemma":[0.9975209,0.00007490151,0.000690832,0.001394187,0.0001885611,0.0001306714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002814491,0.00005679499,0.000002587683,0.004216866,0.001581374,0.00003761585,0.000006571236,0.00071878,0.003867985,0.004503064,0.004359259,0.980621],"study_design_scores_gemma":[0.0001928343,0.0002965349,1.616878e-7,0.001909236,0.0009547898,0.00008229839,0.00001876418,0.0001178143,0.00007467556,0.0004405742,0.9951817,0.0007305919],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00004895761,0.7723004,0.2254962,0.000003358063,0.0005851528,0.001140673,0.00007006234,0.00003151999,0.0003236197],"genre_scores_gemma":[0.00503692,0.989355,0.00199142,0.00006873048,0.00104137,0.0004999123,0.001616278,0.0001622949,0.0002280824],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9908225,"threshold_uncertainty_score":0.9997146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02266296002253503,"score_gpt":0.3210741223669942,"score_spread":0.2984111623444592,"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."}}