{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001172084,0.0005523739,0.0003938372,0.001158473,0.001244477,0.0006488981,0.0004612096,0.0002803876,0.002653921],"category_scores_gemma":[0.0002564625,0.0001670876,0.000384063,0.002152958,0.0002896294,0.0002051526,0.0003377451,0.0006980441,0.001320355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002617183,"about_ca_system_score_gemma":0.00757362,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.620711,"about_ca_topic_score_gemma":0.7379359,"domain_scores_codex":[0.999867,0.000003726363,0.000006325738,0.00003357269,0.00005953896,0.00002984833],"domain_scores_gemma":[0.9996396,0.00002277465,0.0000329638,0.00001864395,0.0001840034,0.0001019132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001096598,0.0002142936,0.02011923,0.0009847669,0.0001347487,0.001544773,0.001351165,0.001594902,0.9126513,0.001290847,0.008557598,0.05045985],"study_design_scores_gemma":[0.0002164857,0.0003505125,0.6752996,0.0002713173,0.000624689,0.002192715,0.002767849,0.003362736,0.06895522,0.0009715799,0.2448063,0.0001811174],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7339859,0.004131788,0.01144631,0.0006025189,0.0001779217,0.0003069806,0.2295934,0.0005450658,0.01921015],"genre_scores_gemma":[0.4642728,0.003694047,0.01973082,0.000314768,0.00004368147,0.0001488563,0.4879997,0.000290323,0.02350502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.379289,"threshold_uncertainty_score":0.7630455,"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."}}