{"id":"W2146772904","doi":"10.1016/j.gde.2011.08.009","title":"Genes into geometry: imaging for mouse development in 3D","year":2011,"lang":"en","type":"review","venue":"Current Opinion in Genetics & Development","topic":"Congenital heart defects research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Hospital for Sick Children","funders":"","keywords":"Biology; Context (archaeology); Visualization; Set (abstract data type); Computational biology; Evolutionary biology; Neuroscience; Computer science; Artificial intelligence","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008210043,0.000744188,0.001022371,0.000955001,0.0001217362,0.0000674583,0.0007594747,0.0003693187,0.00002534933],"category_scores_gemma":[0.0001076706,0.0007554059,0.0002235413,0.0005418156,0.00008272692,0.000006383375,0.0009946726,0.0004158821,0.00007600638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004780109,"about_ca_system_score_gemma":0.002615553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007861491,"about_ca_topic_score_gemma":0.00009188111,"domain_scores_codex":[0.9958422,0.0001747537,0.001439504,0.00122432,0.0003738179,0.0009454119],"domain_scores_gemma":[0.9986416,0.00005743578,0.0002491933,0.000627224,0.0001960371,0.0002285076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001834889,0.0002022475,0.0007212212,0.01167302,0.00006643376,0.000001272748,0.0002129598,0.000002385032,0.00004845211,0.000009392371,0.0004047242,0.9866396],"study_design_scores_gemma":[0.000543843,0.00005076823,0.0001742573,0.003713633,0.00001842156,0.00001122419,0.0000150411,0.00001302742,0.001199786,0.00001288641,0.9933647,0.0008824],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001291864,0.9929619,0.001311564,0.000004296371,0.001937544,0.002408632,0.00002443941,0.00001716657,0.0000425522],"genre_scores_gemma":[0.00007061304,0.9791747,0.01628392,0.000006939538,0.0003130933,0.002066175,0.001777224,0.0001388123,0.0001685606],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.99296,"threshold_uncertainty_score":0.9994897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1008340652252311,"score_gpt":0.4065061159600666,"score_spread":0.3056720507348354,"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."}}