{"id":"W2139020869","doi":"10.1093/bioinformatics/btq111","title":"Mutual information is critically dependent on prior assumptions: would the <i>correct</i> estimate of mutual information please identify itself?","year":2010,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mutual information; Computer science; Prior information; Critically ill; Information theory; Econometrics; Statistics; Artificial intelligence; Mathematics; Medicine; Intensive care medicine","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"],"consensus_categories":[],"category_scores_codex":[0.000746969,0.0003435514,0.0002675156,0.0001680643,0.0003101484,0.0002876279,0.0006203643,0.0006162713,0.00009566323],"category_scores_gemma":[0.0005272509,0.0002642547,0.0001923886,0.0001950662,0.0002236928,0.0002625514,0.000268564,0.0007321968,0.0006691462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002809218,"about_ca_system_score_gemma":0.000215372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001376359,"about_ca_topic_score_gemma":0.00002809836,"domain_scores_codex":[0.9974201,0.0000309136,0.00137361,0.0001299986,0.0005771337,0.0004682702],"domain_scores_gemma":[0.9977297,0.00007176369,0.0006323301,0.0008691452,0.0005123431,0.0001847135],"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":[0.001636723,0.0007330233,0.002318371,0.002090857,0.0008422265,0.000003532894,0.02007829,0.003885173,0.02072156,0.02938004,0.2700234,0.6482868],"study_design_scores_gemma":[0.006027702,0.001948725,0.00606596,0.0002807,0.0004056873,0.0003336943,0.006408568,0.2178431,0.08345827,0.001479799,0.6734028,0.002345021],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.817385,0.0001610462,0.1354158,0.002650959,0.004378808,0.002984097,0.001596079,0.0001886123,0.03523959],"genre_scores_gemma":[0.9745567,0.0002096535,0.01509718,0.008212857,0.0003274571,0.00008648986,0.00127831,0.00002985874,0.0002014811],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6459417,"threshold_uncertainty_score":0.999981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008144480487158157,"score_gpt":0.2617045430190412,"score_spread":0.2535600625318831,"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."}}