{"id":"W4394514803","doi":"10.6084/m9.figshare.20294476","title":"Additional file 1 of α-Gal antigen-deficient rabbits with GGTA1 gene disruption via CRISPR/Cas9","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Xenotransplantation and immune response","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"CRISPR; Gene; Biology; Antigen; Molecular biology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001862943,0.001487016,0.001928431,0.003084119,0.0008616984,0.002512517,0.002164304,0.00238657,0.6580623],"category_scores_gemma":[0.02709409,0.0008064313,0.001525868,0.005504398,0.0004564582,0.00173703,0.001569727,0.001523303,0.1472536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001445303,"about_ca_system_score_gemma":0.003022642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01088569,"about_ca_topic_score_gemma":0.01816947,"domain_scores_codex":[0.9988061,0.0002143152,0.000227881,0.0003979524,0.0002002534,0.0001534445],"domain_scores_gemma":[0.978817,0.01624351,0.001271586,0.001160963,0.001909444,0.0005973885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003083537,0.00004750063,0.001800702,0.00646551,0.000105935,0.00004601054,0.00003894168,0.0004502654,0.00009718105,0.0007663743,0.9856001,0.004273203],"study_design_scores_gemma":[0.004176132,0.0001361968,0.0124476,0.005016015,0.0003647415,0.0002375559,0.0001863637,0.0007275638,0.000514659,0.00777307,0.9683198,0.0001003589],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002722708,0.0000188592,0.00003253081,0.00003017913,0.000004575806,0.00001154618,0.9996355,0.00005206273,0.0001875722],"genre_scores_gemma":[0.001363802,0.0001466715,0.0007447068,0.0002721419,0.00002009752,0.000583032,0.9947045,0.0002404297,0.001924659],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6580623,"threshold_uncertainty_score":0.4877326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02191681828022246,"score_gpt":0.2660648474216802,"score_spread":0.2441480291414578,"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."}}