{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02020861,0.001015527,0.001659975,0.002478761,0.001228709,0.004828712,0.002161678,0.001765982,0.002510723],"category_scores_gemma":[0.1661238,0.0008208933,0.0009995059,0.001968671,0.006975201,0.008117506,0.002981717,0.00413644,0.0008015235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002123265,"about_ca_system_score_gemma":0.001582845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001823907,"about_ca_topic_score_gemma":0.00122353,"domain_scores_codex":[0.9883955,0.005552115,0.0008471913,0.002588397,0.002243057,0.0003737776],"domain_scores_gemma":[0.8026752,0.1644446,0.01304943,0.01354362,0.005096735,0.001190543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00132971,0.0001762226,0.127928,0.002939204,0.001358691,0.001003528,0.001920509,0.1626958,0.01860411,0.4213614,0.01793521,0.2427476],"study_design_scores_gemma":[0.00004673842,0.0001680203,0.0285939,0.0004821026,0.0001638283,0.001139452,0.0004076677,0.2346593,0.01366719,0.7144459,0.005921961,0.0003039203],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1193069,0.003110425,0.8608538,0.006361924,0.0003128007,0.0001051639,0.001214301,0.0008345594,0.007900043],"genre_scores_gemma":[0.8856871,0.001659203,0.1078199,0.001616941,0.0005785031,0.0002270271,0.001346674,0.0003302301,0.0007345827],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02020861,"threshold_uncertainty_score":0.1068746,"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."}}