{"id":"W4409397319","doi":"10.1186/s12864-025-11552-7","title":"The fate of artificial transgenes in Acanthamoeba castellanii","year":2025,"lang":"en","type":"article","venue":"BMC Genomics","topic":"Legionella and Acanthamoeba research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Dalhousie University; Gordon and Betty Moore Foundation","keywords":"Biology; Acanthamoeba; Computational biology; Transgene; Genetics; Biotechnology; Gene","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":[0.0001961813,0.0002307534,0.000189994,0.0002048441,0.0002692778,0.0002945064,0.0002652293,0.0003589706,0.0003439552],"category_scores_gemma":[0.0002769061,0.00009134423,0.0002194142,0.0001602616,0.0002755091,0.0001936161,0.0002948163,0.000530372,0.0002026265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006671338,"about_ca_system_score_gemma":0.0002481066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003605639,"about_ca_topic_score_gemma":0.004136244,"domain_scores_codex":[0.9998068,0.00002184025,0.00001028043,0.00004293391,0.00008564466,0.00003249192],"domain_scores_gemma":[0.9997388,0.00007399642,0.00006194838,0.00002958148,0.00005687664,0.00003888379],"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":[0.00001919447,0.000008483245,0.0004055599,0.00002423999,0.000002205276,0.00002231081,0.00002368676,0.00008187241,0.998628,0.00005819236,0.00001056482,0.0007156968],"study_design_scores_gemma":[0.000004561451,0.0001871143,0.01073945,0.000009104342,0.00001350434,0.0001509264,0.00007311586,0.00302744,0.9835626,0.00009745699,0.002123817,0.00001091052],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917009,0.0007508254,0.005975646,0.00004839722,0.00002046939,0.00002650748,0.000354222,0.0001054205,0.001017628],"genre_scores_gemma":[0.9888686,0.0005085515,0.008039424,0.00004487166,0.000004860362,0.00003454142,0.0007386131,0.00004973927,0.001710838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003605639,"threshold_uncertainty_score":0.007169306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02351863175177293,"score_gpt":0.2858288672082137,"score_spread":0.2623102354564408,"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."}}