{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002073656,0.0001437937,0.0001143446,0.0000493665,0.00007943361,0.00002855917,0.0001801634,0.00009829116,0.00002751211],"category_scores_gemma":[0.00006696529,0.0001405946,0.00004156379,0.00006452308,0.00005234424,0.00002959758,0.0002382746,0.00007681517,0.00004086323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007108973,"about_ca_system_score_gemma":0.00006277234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002010068,"about_ca_topic_score_gemma":0.00002011406,"domain_scores_codex":[0.9992089,0.00002131669,0.0001938374,0.0003065865,0.00006515056,0.0002042185],"domain_scores_gemma":[0.9990284,0.00001742766,0.00008609799,0.0007189172,0.00006814344,0.00008101683],"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":[0.0001258183,0.00004597373,0.001263503,0.0001043455,0.00002955478,4.430524e-7,0.000009943195,0.000002546187,0.9693354,0.008029609,0.01824151,0.002811401],"study_design_scores_gemma":[0.001078,0.0001719523,0.0002774737,0.00001790446,0.00003425026,0.0000190998,0.00004583198,0.0012121,0.1051135,0.00007677492,0.8916637,0.000289485],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8021873,0.0005103918,0.1803434,0.0003976778,0.0001344158,0.001583313,0.01403418,0.00006660284,0.0007427314],"genre_scores_gemma":[0.7775472,0.001050759,0.08526807,0.004220999,0.0002432266,0.0005736352,0.1304953,0.0000505418,0.0005502842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8734221,"threshold_uncertainty_score":0.5733281,"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."}}