{"id":"W2126472136","doi":"10.1242/dmm.015263","title":"Histopathology reveals correlative and unique phenotypes in a high throughput mouse phenotyping screen","year":2014,"lang":"en","type":"article","venue":"Disease Models & Mechanisms","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Centre for Phenogenomics","funders":"National Human Genome Research Institute; National Institutes of Health; Wellcome Trust","keywords":"Histopathology; Biology; Phenotype; Sanger sequencing; Concordance; Pathology; Genetics; Gene; Mutation; Medicine","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":[0.001047693,0.0005743669,0.0005412169,0.001268593,0.0002829975,0.0004211561,0.000236184,0.0004091267,0.0009251169],"category_scores_gemma":[0.0007300806,0.0002508625,0.0004488961,0.0004892104,0.0003755165,0.0001851389,0.000635927,0.0003916354,0.0005041483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002162117,"about_ca_system_score_gemma":0.0001775724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005065299,"about_ca_topic_score_gemma":0.002148048,"domain_scores_codex":[0.9991879,0.0001739657,0.00008335399,0.0001706806,0.0002672718,0.0001167941],"domain_scores_gemma":[0.9988199,0.000360686,0.0002348054,0.000234571,0.0001958022,0.0001542724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005934672,0.00003588616,0.006134503,0.00002300281,0.00001749489,0.0003209043,0.00002861577,0.00008002754,0.991764,0.00002002059,0.0000634753,0.001452708],"study_design_scores_gemma":[0.00002697335,0.001349799,0.2634768,0.00002058037,0.0002535632,0.008423351,0.0001142486,0.002635673,0.7214714,0.0001617989,0.002033556,0.00003213221],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.979148,0.0006136857,0.01776237,0.00005362689,0.00001558246,0.0001431022,0.0008726471,0.000354339,0.001036665],"genre_scores_gemma":[0.9835613,0.0008887921,0.01244984,0.00009512277,0.00001043709,0.0001243156,0.001819812,0.00006661127,0.0009837769],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001268593,"threshold_uncertainty_score":0.005540729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008775905022968525,"score_gpt":0.2317560397134719,"score_spread":0.2229801346905034,"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."}}