{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002583189,0.0002062223,0.0002135942,0.00004970327,0.00009533374,0.0000120254,0.0001827032,0.0002004615,0.00000842385],"category_scores_gemma":[0.00006185067,0.000206791,0.00005869362,0.00007373589,0.0001016209,0.000007519413,0.000182772,0.0001227252,0.000003745293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002007969,"about_ca_system_score_gemma":0.0000387049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000792034,"about_ca_topic_score_gemma":0.00003946526,"domain_scores_codex":[0.9987153,0.0001386498,0.0002210569,0.0005777989,0.00007661175,0.0002705879],"domain_scores_gemma":[0.9992354,0.00001692584,0.00008997316,0.0004572288,0.00005617428,0.0001443287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001429824,0.0001046176,0.0002874116,0.00001883367,0.00001562783,0.00000649497,0.00007053973,0.0006571504,0.4085672,0.5879188,0.0001752779,0.002035067],"study_design_scores_gemma":[0.001024087,0.000275279,0.001735876,0.00004616913,0.00006589132,0.00001050629,0.00003804519,0.02169386,0.0538463,0.9198173,0.0008257944,0.0006208966],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3702918,0.0002925044,0.6284474,0.0001877044,0.00002199309,0.0003192723,0.00005136032,0.00003702135,0.0003510165],"genre_scores_gemma":[0.9753631,0.000178727,0.02240137,0.001267184,0.000045473,0.0001892135,0.0002704319,0.00003456516,0.0002499121],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.606046,"threshold_uncertainty_score":0.8432691,"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."}}