{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005783386,0.000558955,0.0003032375,0.001930535,0.0002717172,0.0004353802,0.000519622,0.0002812712,0.001959226],"category_scores_gemma":[0.0003662752,0.0004404414,0.0002907917,0.0004456929,0.0003196296,0.0003308383,0.0004749715,0.0009057472,0.0009284743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002241025,"about_ca_system_score_gemma":0.000164423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004901703,"about_ca_topic_score_gemma":0.001228131,"domain_scores_codex":[0.9996729,0.00003965154,0.00002509722,0.0000822462,0.0001476553,0.00003245518],"domain_scores_gemma":[0.9996235,0.00007166006,0.0001111194,0.00008813067,0.00006593309,0.00003965177],"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":[0.00003143147,0.000008834651,0.000489768,0.00004099698,0.000007020066,0.0000586725,0.0000202846,0.0001003684,0.9851187,0.0002598121,0.0001687746,0.01369534],"study_design_scores_gemma":[0.00002101907,0.0003381575,0.0531548,0.00003194546,0.00005114928,0.004182406,0.00005992008,0.009109082,0.9088465,0.0005365485,0.02360667,0.0000617625],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2065542,0.001648109,0.781159,0.0001621192,0.0001182848,0.0003443448,0.001663306,0.004609831,0.003740678],"genre_scores_gemma":[0.2223928,0.002063816,0.7659522,0.00006409358,0.0000458589,0.0007303369,0.001971188,0.0006738952,0.006105701],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001959226,"threshold_uncertainty_score":0.006554306,"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."}}