{"id":"W4289865061","doi":"","title":"ORTHOMAM: a database of candidate orthologous makers for mammalian phylogenetics","year":2007,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"","keywords":"Phylogenetics; Computer science; Evolutionary biology; Computational biology; Database; Information retrieval; Biology; Genetics; Gene","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":[0.0009827778,0.00221926,0.002689261,0.007945331,0.001031722,0.00250142,0.002192405,0.001454531,0.02249659],"category_scores_gemma":[0.00256373,0.00146492,0.001159188,0.01108993,0.000429205,0.001738854,0.001917053,0.001417658,0.01498878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006195962,"about_ca_system_score_gemma":0.001239441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008424954,"about_ca_topic_score_gemma":0.001579414,"domain_scores_codex":[0.9994192,0.00005860575,0.0001067394,0.0001868186,0.0001562972,0.00007227009],"domain_scores_gemma":[0.9988974,0.0003571527,0.0002558184,0.0002634024,0.00008870898,0.0001374363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00905468,0.0004174884,0.01475358,0.01126582,0.0006841163,0.00318192,0.001356079,0.005971992,0.3170695,0.02513018,0.3065516,0.304563],"study_design_scores_gemma":[0.0005671849,0.0002573173,0.01491558,0.0003249546,0.0005524241,0.002275981,0.0001817073,0.003546978,0.04099191,0.009508735,0.9267258,0.0001514328],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.04596879,0.006265904,0.05648387,0.0001728215,0.0002545027,0.0002259514,0.8306028,0.04708065,0.01294474],"genre_scores_gemma":[0.03767478,0.002983776,0.07147653,0.0001051897,0.00006914264,0.0004862869,0.8799615,0.004593176,0.002649684],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02249659,"threshold_uncertainty_score":0.07525855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01487956408822459,"score_gpt":0.2481140401182314,"score_spread":0.2332344760300068,"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."}}