{"id":"W4225160828","doi":"10.2478/ebtj-2022-0008","title":"Genetically modified mice for research on human diseases: A triumph for Biotechnology or a work in progress?","year":2022,"lang":"en","type":"article","venue":"The EuroBiotech Journal","topic":"Pluripotent Stem Cells Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Disease; Genetically engineered; Biology; Human disease; Gene; Gene knockout; Computational biology; Gene knockin; Animal model; Genetically modified organism; Genetics; Epigenetics; Gene targeting; Genetic model; Drug discovery; Neuroscience; Bioinformatics; Medicine; Pathology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01931915,0.00107447,0.001467425,0.001199738,0.0008065953,0.003295337,0.001637523,0.004254811,0.005776521],"category_scores_gemma":[0.007786517,0.0003977241,0.0007304888,0.0009361111,0.01240415,0.008019478,0.0021767,0.01113535,0.00193269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001383696,"about_ca_system_score_gemma":0.001827726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000405754,"about_ca_topic_score_gemma":0.0004368761,"domain_scores_codex":[0.9957991,0.002278907,0.0003257342,0.0002501085,0.001198793,0.0001472767],"domain_scores_gemma":[0.9864254,0.008920929,0.0009057033,0.001795946,0.001178238,0.000773813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002029292,0.0001235306,0.0005157784,0.001557192,0.0000997816,0.0003317347,0.0005489124,0.0004842675,0.01370324,0.6782268,0.1534894,0.1507164],"study_design_scores_gemma":[0.00007660699,0.0002838266,0.0005339023,0.0009330999,0.00006231033,0.000737004,0.0002581509,0.0002814649,0.002410911,0.2155115,0.7788607,0.00005059063],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002675592,0.4606431,0.03475832,0.4527455,0.03105423,0.00007451624,0.0001512147,0.0005670668,0.0173305],"genre_scores_gemma":[0.06266382,0.5456713,0.08058598,0.2364525,0.04151608,0.0004468391,0.0003326671,0.0007298877,0.03160091],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01931915,"threshold_uncertainty_score":0.1021706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1053948379692874,"score_gpt":0.3996939807411718,"score_spread":0.2942991427718843,"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."}}