{"id":"W2172187648","doi":"10.1186/1752-0509-8-46","title":"Combining test statistics and models in bootstrapped model rejection: it is a balancing act","year":2014,"lang":"en","type":"article","venue":"BMC Systems Biology","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Engineering Link (Canada)","funders":"Novo Nordisk Fonden; Vetenskapsrådet; Bundesministerium für Bildung und Forschung; European Commission","keywords":"Bootstrapping (finance); Computer science; Parametric statistics; Extension (predicate logic); Dimension (graph theory); Statistical hypothesis testing; Nonparametric statistics; Curse of dimensionality; Value (mathematics); Feature (linguistics); Statistics; Mathematics; Econometrics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004489889,0.0001825097,0.0003235272,0.00008510383,0.00006927925,0.00002317293,0.000119908,0.0002691606,0.00000256702],"category_scores_gemma":[0.00006995138,0.0001783296,0.00004852204,0.0001041923,0.00007157402,0.000003942343,0.00008178368,0.00008521842,0.000003360098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002248418,"about_ca_system_score_gemma":0.00007326835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001162538,"about_ca_topic_score_gemma":0.0003915661,"domain_scores_codex":[0.9986206,0.0001808263,0.0003671944,0.0004648827,0.00006599969,0.0003005302],"domain_scores_gemma":[0.9993077,0.00007200316,0.0001425333,0.0003339099,0.00006543485,0.00007845549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009611162,0.0001049363,0.5181378,0.0002470995,0.000178273,0.000002600837,0.0003220033,0.2508946,0.2186818,0.00291292,0.007180871,0.001240985],"study_design_scores_gemma":[0.0006711254,0.0002077769,0.002086153,0.00003620663,0.00003275696,0.00003384418,0.0001145402,0.9926712,0.001043099,0.0006848836,0.002152337,0.0002660741],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6542764,0.001176175,0.343149,0.00005921704,0.0001440763,0.0002137269,0.00004667755,0.00001943527,0.0009153697],"genre_scores_gemma":[0.9964142,0.00009860829,0.002594469,0.0001655325,0.0001708173,0.00002919436,0.00009250302,0.00002203704,0.0004125673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7417766,"threshold_uncertainty_score":0.7272069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01911938747784012,"score_gpt":0.2540747617919151,"score_spread":0.234955374314075,"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."}}