{"id":"W4385978049","doi":"10.1101/2023.08.18.551884","title":"Long-insert sequence capture detects high copy numbers in a defence-related beta-glucosidase gene β <i>glu-1</i> with large variations in white spruce but not Norway spruce","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Chromosomal and Genetic Variations","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency; Université Laval; Canada's Michael Smith Genome Sciences Centre; University of British Columbia; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Leverhulme Trust; Genome British Columbia; Génome Québec; Genome Canada","keywords":"Copy-number variation; Biology; Picea abies; Gene; Abies alba; Genetics; Botany; Evolutionary biology; Genome","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002621486,0.0002724392,0.0002401824,0.0005194123,0.0002567745,0.0003592238,0.0001973167,0.000246904,0.0009158446],"category_scores_gemma":[0.0004452989,0.0001584752,0.0003050056,0.0005220397,0.000238278,0.0001080868,0.0002691892,0.0002638796,0.0002525732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002486328,"about_ca_system_score_gemma":0.0001424096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003435032,"about_ca_topic_score_gemma":0.009594656,"domain_scores_codex":[0.9997129,0.00002839752,0.0000127909,0.0001533917,0.00005534945,0.00003723972],"domain_scores_gemma":[0.9997398,0.00008691174,0.00007128421,0.00003567259,0.00003360257,0.00003273039],"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":[0.000136295,0.0000271349,0.03533318,0.00005383137,0.00006135991,0.00009089023,0.0002574316,0.0003897799,0.9573373,0.00008156832,0.00009861938,0.006132537],"study_design_scores_gemma":[0.00001539921,0.0002088059,0.8994756,0.00001771838,0.0001146399,0.0004637998,0.0002316695,0.003851383,0.09131896,0.00008285423,0.004205868,0.00001328894],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923085,0.0001435746,0.004596363,0.00001332664,0.000005040102,0.00001945115,0.002113218,0.0001174903,0.0006829616],"genre_scores_gemma":[0.9815205,0.00009105914,0.008845621,0.00006779052,0.0000054916,0.00006333335,0.008176263,0.00006940898,0.001160546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003435032,"threshold_uncertainty_score":0.006830096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01581298360194331,"score_gpt":0.2046356878850745,"score_spread":0.1888227042831312,"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."}}