{"id":"W1761291524","doi":"10.1016/j.ydbio.2015.09.004","title":"The Xenopus ORFeome: A resource that enables functional genomics","year":2015,"lang":"en","type":"article","venue":"Developmental Biology","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Cancer Institute; National Institutes of Health; Cancer Research UK; Wellcome Trust; Wellcome","keywords":"Biology; Xenopus; Functional genomics; Computational biology; Resource (disambiguation); Genomics; Genetics; Genome; Gene; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009632753,0.001600579,0.001554681,0.003998233,0.001292477,0.001897843,0.001561839,0.0007733713,0.01662114],"category_scores_gemma":[0.001676763,0.0008238727,0.001079407,0.00402196,0.0003725519,0.001409166,0.00179864,0.001555737,0.02091035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006564148,"about_ca_system_score_gemma":0.00189436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002689543,"about_ca_topic_score_gemma":0.003376677,"domain_scores_codex":[0.9994466,0.00006477784,0.00006501028,0.0001369214,0.0002163402,0.00007028839],"domain_scores_gemma":[0.9989421,0.0001896776,0.0002015326,0.000269774,0.000198417,0.0001985974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0026614,0.0001989708,0.004257775,0.004266987,0.0003328136,0.002153972,0.0007196867,0.001576086,0.6733058,0.006478385,0.1616879,0.1423603],"study_design_scores_gemma":[0.0002223204,0.0002749719,0.01318161,0.0005129743,0.0002735438,0.003395605,0.0001444094,0.001333143,0.1524159,0.001937684,0.8261163,0.0001914523],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.04397631,0.006414702,0.1030195,0.0005551761,0.0003934294,0.000860529,0.7869524,0.03008048,0.02774751],"genre_scores_gemma":[0.0205567,0.002984961,0.0597273,0.0001232141,0.00008779569,0.0005610826,0.9025773,0.004603633,0.008777921],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01662114,"threshold_uncertainty_score":0.05560327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03156160937541217,"score_gpt":0.2238985040140161,"score_spread":0.192336894638604,"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."}}