{"id":"W2618145508","doi":"10.1016/j.margen.2017.05.008","title":"De novo transcriptome assembly and annotation for the desert rainbowfish ( Melanotaenia splendida tatei ) with comparison with candidate genes for future climates","year":2017,"lang":"en","type":"article","venue":"Marine Genomics","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Australian Research Council; Flinders University","keywords":"Biology; Transcriptome; Gene; Adaptation (eye); Sequence assembly; De novo transcriptome assembly; Ecology; Candidate gene; Evolutionary biology; Genetics; Gene expression","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001694397,0.0002005615,0.0002071832,0.00001784499,0.0006771054,0.0001673045,0.0002482844,0.00007699347,0.000001232355],"category_scores_gemma":[0.00001478663,0.0001347372,0.00005041045,0.0000163057,0.0001282628,0.000002868576,0.00009600689,0.00004807433,1.841343e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001526839,"about_ca_system_score_gemma":0.00007462431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001237224,"about_ca_topic_score_gemma":0.00286037,"domain_scores_codex":[0.9991729,0.00001183236,0.0001549018,0.0003050455,0.00005367452,0.0003016161],"domain_scores_gemma":[0.9992898,0.00003288809,0.0001448097,0.0003614516,0.0001142866,0.00005673254],"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":[0.003549424,0.00007987259,0.3274367,0.0002047416,0.0008989802,0.000003223935,0.0010826,0.0008769638,0.6151178,0.0003733968,0.0008383989,0.04953783],"study_design_scores_gemma":[0.006713774,0.002419088,0.393168,0.00001864221,0.0005585811,0.00009844315,0.00152441,0.003393169,0.1285251,0.000406685,0.462303,0.0008711141],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913244,0.001515822,0.004910574,0.001104634,0.0001155435,0.0007168691,0.0002083769,0.000004242549,0.00009954907],"genre_scores_gemma":[0.9857491,0.00139462,0.01158331,0.0002116168,0.0004147714,0.0002169456,0.000167053,0.00004375643,0.0002188076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4865928,"threshold_uncertainty_score":0.5494422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01162406473921089,"score_gpt":0.2538604012705382,"score_spread":0.2422363365313273,"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."}}