{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004487688,0.0007450013,0.0009646592,0.003688471,0.0007269827,0.004176978,0.001696933,0.00134555,0.01948337],"category_scores_gemma":[0.006763508,0.0005544696,0.0006114583,0.004729743,0.001930805,0.008372452,0.002414274,0.004149151,0.008993275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001420233,"about_ca_system_score_gemma":0.001974968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001150925,"about_ca_topic_score_gemma":0.001073813,"domain_scores_codex":[0.9988151,0.0003581266,0.00007628635,0.0002275321,0.0004375999,0.00008536474],"domain_scores_gemma":[0.9955202,0.001925817,0.0001266561,0.00114028,0.0009562052,0.0003309137],"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":[0.00007744912,0.0001462994,0.0008771362,0.0007794275,0.00004622542,0.00007342364,0.000195551,0.0009483804,0.004045484,0.2150555,0.1027495,0.6750056],"study_design_scores_gemma":[0.00001795073,0.00003225753,0.001177125,0.0003597591,0.00002700899,0.0002452675,0.0001048604,0.004142808,0.002255889,0.1173795,0.8742372,0.0000204486],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.009817261,0.3509682,0.3698624,0.07672998,0.01574333,0.0001831972,0.002050138,0.005431041,0.1692143],"genre_scores_gemma":[0.1015217,0.3985912,0.3998977,0.01529183,0.018296,0.0002075877,0.006049473,0.001102881,0.05904176],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01948337,"threshold_uncertainty_score":0.06517833,"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."}}