{"id":"W4281727735","doi":"10.32920/19857427.v1","title":"Developing the polycystic kidney disease interactome","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Genetic and Kidney Cyst Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Royal Military College of Canada; Sciencetech (Canada)","funders":"","keywords":"Cilium; PKD1; Polycystic kidney disease; Endoplasmic reticulum; Cell biology; Autosomal dominant polycystic kidney disease; HEK 293 cells; Biology; Intraflagellar transport; Interactome; Gene; Kidney; 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":[],"consensus_categories":[],"category_scores_codex":[0.001634039,0.001572222,0.001323561,0.004628879,0.001257754,0.003862037,0.001152484,0.00160565,0.01887777],"category_scores_gemma":[0.00413814,0.0008357554,0.001694883,0.002841721,0.0004074768,0.003966541,0.005978813,0.001744382,0.01414658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009345813,"about_ca_system_score_gemma":0.001287281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00176247,"about_ca_topic_score_gemma":0.005381621,"domain_scores_codex":[0.99896,0.0002153085,0.00009465424,0.0002224009,0.0004090133,0.00009858162],"domain_scores_gemma":[0.9988933,0.000338736,0.00008723941,0.0002439437,0.0002120893,0.0002246068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004976456,0.0001407342,0.01121181,0.003723257,0.0007331468,0.002360793,0.0007227524,0.003493667,0.0317551,0.104374,0.5831652,0.2578218],"study_design_scores_gemma":[0.00005469981,0.00003610027,0.006770686,0.0006132299,0.0001543462,0.001177644,0.0002275684,0.02279461,0.008053951,0.04977538,0.9102601,0.0000816123],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05061239,0.02613346,0.4513074,0.0321549,0.005596888,0.000869461,0.2670447,0.07243031,0.09385054],"genre_scores_gemma":[0.08004426,0.01821255,0.4947578,0.003450338,0.001015145,0.001123931,0.3512379,0.005989847,0.04416825],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01887777,"threshold_uncertainty_score":0.06315243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01712821313246303,"score_gpt":0.281996812972109,"score_spread":0.2648685998396459,"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."}}