{"id":"W7161837391","doi":"10.82308/25867","title":"Application of Deep Learning to Classify Disease Progression in Patients with Autosomal Dominant Polycystic Kidney Disease","year":2023,"lang":"en","type":"dissertation","venue":"","topic":"Genetic and Kidney Cyst Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Kidney disease; Polycystic disease; Lower limb; Congenital disease; Cyst","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001563972,0.0005699263,0.0006457431,0.001306049,0.0002217845,0.001019611,0.0005579821,0.0006761859,0.000802123],"category_scores_gemma":[0.003651281,0.0002304555,0.0006640184,0.0005611336,0.0002146676,0.0005163867,0.0007528354,0.000924634,0.0002245176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006726352,"about_ca_system_score_gemma":0.0008232461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008814716,"about_ca_topic_score_gemma":0.0103545,"domain_scores_codex":[0.9995523,0.0001728665,0.00004694386,0.00008873429,0.00006418527,0.00007486885],"domain_scores_gemma":[0.9989064,0.0005961082,0.0001188901,0.00006770052,0.00020733,0.0001036376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001731182,0.0006924458,0.3695569,0.0003319478,0.00054715,0.0004118832,0.0002967628,0.1097228,0.00719018,0.0007029928,0.004427765,0.5043879],"study_design_scores_gemma":[0.0001120092,0.0006383043,0.07701635,0.0001242415,0.0001896999,0.0002941987,0.0002294432,0.9113402,0.004624227,0.003183182,0.002201705,0.00004633265],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9182016,0.003989381,0.07119982,0.001210128,0.0001476482,0.0001890045,0.001645394,0.0007700495,0.002647062],"genre_scores_gemma":[0.9777859,0.00048124,0.01940013,0.0001777934,0.00004717147,0.00009268107,0.001185889,0.00002424408,0.0008050136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008814716,"threshold_uncertainty_score":0.01752681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003218779207719744,"score_gpt":0.2460960879817515,"score_spread":0.2428773087740317,"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."}}