{"id":"W4396991818","doi":"10.1681/asn.20213210s1391d","title":"Modeling Gene-Targeted Strategies for Therapeutic Correction of PKD1 Loss-of-Function Mice","year":2021,"lang":"en","type":"article","venue":"Journal of the American Society of Nephrology","topic":"Diabetes Treatment and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Clinical Research Institute","funders":"","keywords":"Function (biology); Loss function; PKD1; Medicine; Computational biology; Gene; Cancer research; Biology; Internal medicine; Intensive care medicine; Genetics; Phenotype; Kidney","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":[0.0006459884,0.000917999,0.0004995831,0.0008915331,0.0003110197,0.0006008968,0.0009693335,0.001073776,0.002397874],"category_scores_gemma":[0.0002631716,0.0004029234,0.0006107955,0.0002719536,0.0005965909,0.0004381172,0.0005178074,0.001704787,0.0009786973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005311478,"about_ca_system_score_gemma":0.0004033887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003271642,"about_ca_topic_score_gemma":0.0005490863,"domain_scores_codex":[0.9996191,0.00005160881,0.00003966158,0.00009161469,0.0001288715,0.00006909804],"domain_scores_gemma":[0.9997755,0.00004349057,0.00007096653,0.00003051819,0.00002108999,0.00005847554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001441671,0.0002261085,0.0001657923,0.00011074,0.00001594344,0.0001849222,0.00005228681,0.0005304206,0.992081,0.00115965,0.0004104069,0.004918534],"study_design_scores_gemma":[0.0002745227,0.001722267,0.001005065,0.0000506842,0.00008321294,0.001353616,0.00004564509,0.004270945,0.9694636,0.0004030215,0.02130574,0.00002164538],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8180032,0.004692832,0.1618291,0.001543956,0.0007610007,0.001842644,0.002733343,0.002416924,0.006177055],"genre_scores_gemma":[0.8897876,0.005602464,0.08685355,0.0003390825,0.0001099277,0.002273486,0.002287572,0.0004121102,0.01233426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002397874,"threshold_uncertainty_score":0.008021653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02528970057978706,"score_gpt":0.2855034118176336,"score_spread":0.2602137112378465,"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."}}