{"id":"W1993487019","doi":"10.1002/dvg.22008","title":"From expression cloning to gene modeling: The development of <i>Xenopus</i> gene sequence resources","year":2012,"lang":"en","type":"review","venue":"genesis","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics; RIKEN; Medical Research Council; University of California, Irvine; National Institute for Basic Biology; Joint Genome Institute; Yale University","keywords":"Xenopus; Biology; Gene; Cloning (programming); Complementary DNA; Genetics; Genome; Computational biology; Coding region; clone (Java method); Sequence (biology); Model organism; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002215049,0.001424548,0.002201916,0.002237451,0.0003136544,0.002065619,0.002895311,0.001565824,0.002148798],"category_scores_gemma":[0.001607689,0.001058291,0.001135104,0.003448225,0.001674427,0.003001155,0.001003327,0.003707723,0.003270404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001438286,"about_ca_system_score_gemma":0.001470949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001598765,"about_ca_topic_score_gemma":0.0009953025,"domain_scores_codex":[0.9995192,0.0001206989,0.00006591652,0.0001024305,0.0001642094,0.00002757938],"domain_scores_gemma":[0.9993451,0.0003537252,0.00007077678,0.00006815791,0.0001226048,0.00003962855],"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":[0.0001136417,0.00006701604,0.0004075978,0.01945673,0.0001930551,0.0004753802,0.0003376243,0.01111063,0.04219031,0.1083529,0.03246666,0.7848283],"study_design_scores_gemma":[0.00001807703,0.00005461296,0.0003791495,0.002033534,0.00009005459,0.0007790904,0.00006474492,0.002194259,0.01505543,0.01508565,0.964201,0.00004443755],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001358582,0.8754302,0.1122007,0.002474345,0.0008941644,0.00005749445,0.000540019,0.0007151272,0.006329404],"genre_scores_gemma":[0.003698615,0.9386563,0.05404471,0.000602866,0.0003442186,0.000109305,0.0007972473,0.000134706,0.001611987],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002895311,"threshold_uncertainty_score":0.0117144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0828342860430953,"score_gpt":0.3027811008870558,"score_spread":0.2199468148439606,"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."}}