{"id":"W2328919107","doi":"10.1038/laban0412-102","title":"Non-invasive genotyping of transgenic animals using fecal DNA","year":2012,"lang":"en","type":"article","venue":"Lab Animal","topic":"Animal Genetics and Reproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Atomic Energy (Canada)","funders":"Center for Alternatives to Animal Testing, Johns Hopkins Bloomberg School of Public Health","keywords":"Genotyping; Feces; Biology; Transgene; DNA; Genotype; Genetics; Computational biology; Microbiology; 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":[0.0001807772,0.0001401475,0.0001570963,0.00003331539,0.00007230703,0.000008129427,0.0001080103,0.0001458177,0.00003200438],"category_scores_gemma":[0.00002337976,0.0001334885,0.0001187624,0.00009073861,0.00008049641,0.000005248495,0.00006564768,0.00006475845,0.000009040367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001140289,"about_ca_system_score_gemma":0.00006343293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002084171,"about_ca_topic_score_gemma":0.000007732139,"domain_scores_codex":[0.9990643,0.00002712079,0.0002141068,0.0002665925,0.0001113115,0.0003165616],"domain_scores_gemma":[0.9995151,0.00000424014,0.00009148514,0.0002181941,0.00008217916,0.00008887262],"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":[0.0001559419,0.00006181721,0.0101048,0.00003469753,0.00005073257,4.631709e-7,0.0001300039,0.00002772031,0.9890181,0.0001207152,0.0000545024,0.0002404633],"study_design_scores_gemma":[0.0002500357,0.0004388851,0.04296552,0.00001251837,0.00004665964,0.00002443451,0.0001054525,0.00005166652,0.9534791,0.00001004286,0.002441716,0.0001740319],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961559,0.002034908,0.0009123957,0.0000242159,0.000161974,0.0001343383,0.00001104968,0.000007172527,0.0005580509],"genre_scores_gemma":[0.9972586,0.0001410199,0.001521771,0.00003642341,0.0008886554,0.000003472276,0.00001427559,0.0000272885,0.0001085073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0355391,"threshold_uncertainty_score":0.5443501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02089886406949271,"score_gpt":0.2663258683745749,"score_spread":0.2454270043050822,"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."}}