{"id":"W3016741058","doi":"10.1007/s00441-020-03210-z","title":"Innovative use of animal models to advance scientific research","year":2020,"lang":"en","type":"article","venue":"Cell and Tissue Research","topic":"Animal Genetics and Reproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Human genetics; Computational biology; Molecular medicine; Data science; Biology; Management science; Computer science; Engineering; Genetics","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":[0.0008684933,0.00007055335,0.00009613395,0.0001200662,0.000212151,0.00007133002,0.0001623613,0.00007411098,0.00001104612],"category_scores_gemma":[0.0002045445,0.00006401587,0.00001380622,0.0009899657,0.0004165319,0.000008427494,0.0004612409,0.0002021963,0.00002040851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006845024,"about_ca_system_score_gemma":0.0001097346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002931681,"about_ca_topic_score_gemma":0.00000523092,"domain_scores_codex":[0.9984242,0.0001396143,0.0001388381,0.00056154,0.0004119844,0.0003237913],"domain_scores_gemma":[0.9982719,0.00002446157,0.00001998414,0.0002627148,0.001253978,0.0001669106],"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":[0.0002497736,0.00004225459,0.0001747699,0.00004634987,0.000005253124,0.00000239409,0.0004136011,0.0001265899,0.990414,0.0005623077,0.004748996,0.003213763],"study_design_scores_gemma":[0.0001019731,0.001548855,0.0003455164,0.00000828383,8.795903e-7,0.000001179089,0.0002508821,0.0002890963,0.8227885,0.0001568857,0.1744396,0.00006832269],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952478,0.001650706,0.0008048236,0.0008721195,0.00003293416,0.0003192323,0.00001175609,0.000003505418,0.00105711],"genre_scores_gemma":[0.99452,0.000304771,0.001236054,0.00002474443,0.0001826109,0.0000135044,0.0000169246,0.00001424806,0.00368715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1696906,"threshold_uncertainty_score":0.2610491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2183461291138555,"score_gpt":0.409408423040652,"score_spread":0.1910622939267966,"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."}}