{"id":"W4415429081","doi":"10.1093/dnares/dsaf030","title":"MedakaBase as a unified genomic resource platform for medaka fish biology","year":2025,"lang":"en","type":"article","venue":"DNA Research","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute for Basic Biology; Institute of Genetics","keywords":"Oryzias; In silico; Genome; Model organism; Resource (disambiguation); Transcriptome; Genomics; Informatics; Gene","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":[0.001946445,0.002179786,0.002123852,0.004984762,0.001323692,0.003121334,0.004058838,0.001549823,0.02865337],"category_scores_gemma":[0.003735392,0.001650527,0.001470195,0.00398663,0.0005706982,0.003884753,0.004529128,0.002971914,0.04549274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000896574,"about_ca_system_score_gemma":0.002474961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004122246,"about_ca_topic_score_gemma":0.004445743,"domain_scores_codex":[0.9990989,0.00008829805,0.000157621,0.0003373079,0.0002106191,0.0001073839],"domain_scores_gemma":[0.9985031,0.0002548094,0.0002705039,0.0003704627,0.0002915089,0.0003096507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004058088,0.0002994293,0.00596498,0.005971885,0.0005170422,0.001438303,0.001865613,0.002341224,0.1322983,0.01335245,0.6555919,0.1763008],"study_design_scores_gemma":[0.0003295076,0.0001880223,0.009151977,0.0005483323,0.0002499219,0.0006858689,0.0002699075,0.004112208,0.03020567,0.007088768,0.9468703,0.0002996512],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.01127886,0.002525342,0.1172572,0.0009936151,0.0009565437,0.001243376,0.5337751,0.31679,0.01518003],"genre_scores_gemma":[0.01449679,0.001149336,0.1391731,0.0006904522,0.0001489685,0.001928392,0.8157449,0.01990966,0.006758374],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.02865337,"threshold_uncertainty_score":0.095855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05591549939322215,"score_gpt":0.3709172459964989,"score_spread":0.3150017466032768,"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."}}