{"id":"W2948724030","doi":"10.1128/mra.00381-19","title":"Complete Chloroplast Genome Sequence of a White Spruce (Picea glauca, Genotype WS77111) from Eastern Canada","year":2019,"lang":"en","type":"article","venue":"Microbiology Resource Announcements","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Ministry of Forests; University of British Columbia; Université Laval; Canada's Michael Smith Genome Sciences Centre","funders":"Genome British Columbia; Canada's Michael Smith Genome Sciences Centre; Genome Canada","keywords":"Phylogenetic tree; Biology; Chloroplast; Whole genome sequencing; Sequence (biology); Genome; Taiga; Genotype; White (mutation); Botany; Chloroplast DNA; Evolutionary biology; Genetics; Ecology; Gene","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001063456,0.0002767697,0.00037025,0.00003471407,0.0001240613,0.000009613168,0.000471429,0.0001498381,0.0001155959],"category_scores_gemma":[0.00001144116,0.0002700627,0.00008038618,0.00007892898,0.000143795,0.000001187343,0.0005353609,0.0001053345,0.00005676386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005240419,"about_ca_system_score_gemma":0.0002214143,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02419626,"about_ca_topic_score_gemma":0.03699961,"domain_scores_codex":[0.9984223,0.00007676768,0.0003814595,0.00058629,0.00009121605,0.0004419906],"domain_scores_gemma":[0.9989872,0.00001720165,0.000230516,0.0005633662,0.0001280847,0.00007362781],"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":[0.0001411977,0.00002648464,0.1576155,0.00001580287,0.0002399134,0.000003205429,0.0001531509,0.0001625921,0.8407716,0.000002176788,0.0007949216,0.00007343091],"study_design_scores_gemma":[0.0009681405,0.0003706397,0.01172364,0.0000200581,0.00003562493,0.00001481175,0.0002405351,0.0000204777,0.008350897,0.000007036961,0.9778903,0.0003578636],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988323,0.001544123,0.00003123705,0.0001045536,0.0003540517,0.0003008552,0.008610351,0.000003233105,0.0007286479],"genre_scores_gemma":[0.9887329,0.00007888769,0.0002607561,0.0009504101,0.0001442851,0.00001169523,0.006601291,0.00002889958,0.003190817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9770954,"threshold_uncertainty_score":0.9999751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.011446710153995,"score_gpt":0.2013586374575065,"score_spread":0.1899119273035114,"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."}}