{"id":"W2967909176","doi":"10.1093/database/baz089","title":"PICEAdatabase: a web database for Picea omics and phenotypic information","year":2019,"lang":"en","type":"article","venue":"Database","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Pinaceae; Picea abies; Biology; Transcriptome; Omics; Ecology; Bioinformatics; Botany; Pinus <genus>; 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":[0.001129716,0.002911442,0.002079871,0.008695183,0.001165292,0.002820677,0.00265144,0.0009276833,0.01580928],"category_scores_gemma":[0.002866205,0.001056071,0.00134454,0.009380494,0.0003232367,0.002429355,0.002940369,0.001469601,0.01444012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007389836,"about_ca_system_score_gemma":0.00184361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004036597,"about_ca_topic_score_gemma":0.004493232,"domain_scores_codex":[0.9994106,0.00005937562,0.0001402974,0.0001815533,0.0001447617,0.00006336653],"domain_scores_gemma":[0.9990191,0.0001855474,0.0001567758,0.0002383589,0.0002308886,0.0001692955],"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":[0.003358538,0.000379263,0.02003157,0.01606518,0.001774932,0.002270819,0.001425885,0.002995818,0.07261255,0.009568907,0.6654411,0.2040754],"study_design_scores_gemma":[0.0002475502,0.0001074263,0.02729255,0.0007706927,0.0005095352,0.0008971763,0.0002376137,0.003099621,0.01131899,0.004607626,0.950731,0.0001800942],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.009948499,0.004427621,0.0225252,0.0001689478,0.0002199138,0.0003356467,0.91809,0.03577203,0.008512019],"genre_scores_gemma":[0.008682671,0.001221159,0.01981726,0.0001500268,0.00003478764,0.0005323896,0.9657553,0.002561875,0.001244424],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.01580928,"threshold_uncertainty_score":0.05288726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007577377018596199,"score_gpt":0.2544863433214788,"score_spread":0.2469089663028826,"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."}}