{"id":"W2146626183","doi":"10.1152/physiolgenomics.00091.2010","title":"Mouse embryonic phenotyping by morphometric analysis of MR images","year":2010,"lang":"en","type":"article","venue":"Physiological Genomics","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"British Heart Foundation; Wellcome Trust; Genome Canada","keywords":"Biology; Embryo; Phenotype; Anatomy; Embryonic stem cell; Inbred strain; Magnetic resonance imaging; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001064561,0.0001197363,0.0002446448,0.00009136659,0.00005637823,0.00001476431,0.0002492854,0.0001345771,0.0001012359],"category_scores_gemma":[0.00007788,0.00009888095,0.0001827154,0.0002799215,0.00009697208,0.000001572191,0.0001453877,0.0001041892,0.000009414171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003509854,"about_ca_system_score_gemma":0.0000163896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002274167,"about_ca_topic_score_gemma":0.000003015281,"domain_scores_codex":[0.9992747,0.00002391243,0.0001495155,0.0002861937,0.00007109062,0.0001946216],"domain_scores_gemma":[0.999509,0.00001805233,0.00009874158,0.000248148,0.00005367704,0.00007241537],"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":[0.00002585746,0.00007995586,0.001875113,0.000005439111,0.0002413033,3.024863e-7,0.00001037817,0.0004027104,0.9939604,0.00004163665,0.002854748,0.0005021415],"study_design_scores_gemma":[0.0004741343,0.0003382261,0.05705468,0.000002137618,0.0004277812,0.000001834566,0.0001094469,0.001206878,0.9131753,0.000108898,0.02664565,0.000455018],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983402,0.0002825689,0.000566142,0.0000245524,0.00005966928,0.00005212813,0.0002478635,0.00000947968,0.0004174322],"genre_scores_gemma":[0.9977834,0.0003639377,0.0008166013,0.0001376827,0.00006764066,0.000002065399,0.000330967,0.000005447496,0.0004923147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0807851,"threshold_uncertainty_score":0.4032248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01269048801603476,"score_gpt":0.2271035798527926,"score_spread":0.2144130918367579,"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."}}