{"id":"W2019662118","doi":"10.1142/s0219720010005294","title":"ADVANCES IN GENOME INFORMATICS","year":2010,"lang":"en","type":"article","venue":"Journal of Bioinformatics and Computational Biology","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Global Institute for Water Security, University of Saskatchewan","keywords":"Chinese academy of sciences; Library science; China; Informatics; Computer science; Geography; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0002344353,0.00008087637,0.000144681,0.00009630379,0.0000358149,0.00001392818,0.0001055418,0.00007698065,0.000003135703],"category_scores_gemma":[0.00004467915,0.00006412135,0.00004035908,0.00004961059,0.00009174225,0.00000500927,0.00006275682,0.0001187953,0.000001288345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003147737,"about_ca_system_score_gemma":0.00006017402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.868886e-7,"about_ca_topic_score_gemma":0.000009550453,"domain_scores_codex":[0.9992927,0.00001003769,0.0004918142,0.00003925779,0.00005723422,0.0001089905],"domain_scores_gemma":[0.9994607,0.00002874608,0.0002778721,0.00005668224,0.0001287072,0.00004729122],"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":[0.0005917206,0.00042549,0.1684982,0.0003851303,0.0004232758,0.00001045012,0.005381789,0.05663665,0.3304431,0.04039009,0.0005020335,0.3963121],"study_design_scores_gemma":[0.008160115,0.005124906,0.2686354,0.00006941673,0.00008091866,0.002108007,0.003643744,0.04787324,0.003445555,0.08320611,0.5762167,0.001435889],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917911,0.001248924,0.00543537,0.00009161831,0.000216262,0.00005086409,0.00001194289,6.117349e-7,0.001153252],"genre_scores_gemma":[0.9661968,0.001529044,0.03193373,0.0002108087,0.0001053807,0.000001046469,0.00001537599,0.000003438045,0.000004398107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5757147,"threshold_uncertainty_score":0.2614793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004412706998580387,"score_gpt":0.2368619660177261,"score_spread":0.2324492590191458,"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."}}