{"id":"W2583141155","doi":"10.1002/dvdy.24490","title":"Quantifying three‐dimensional morphology and RNA from individual embryos","year":2017,"lang":"en","type":"article","venue":"Developmental Dynamics","topic":"Morphological variations and asymmetry","field":"Mathematics","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Children's Hospital; Alberta Bone and Joint Health Institute; University of Calgary","funders":"National Institute of Dental and Craniofacial Research; Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Morphology (biology); Embryo; RNA; Evolutionary biology; Cell biology; Zoology; 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":[0.0002371792,0.0001752598,0.0002409757,0.0000565546,0.0006462569,0.0001474203,0.0003169458,0.0001559865,0.0002625001],"category_scores_gemma":[0.0002664776,0.0001524025,0.00004013559,0.00003855796,0.0001445587,0.0001474283,0.0005251406,0.0001962583,0.00005074875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000660866,"about_ca_system_score_gemma":0.00004392398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000202088,"about_ca_topic_score_gemma":0.0005787921,"domain_scores_codex":[0.9989232,0.00002540058,0.0002776496,0.0003200819,0.0002146803,0.0002390165],"domain_scores_gemma":[0.9991857,0.00022862,0.0001982915,0.0002658042,0.00003090974,0.00009065597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006453707,0.0004313191,0.6188648,0.00004813477,0.0004436448,0.0003209672,0.0003627111,0.000005230972,0.004002494,0.3225721,0.003962583,0.04892139],"study_design_scores_gemma":[0.0008298015,0.00002805231,0.9306548,0.00004147141,0.00004525325,0.00007089376,0.0001404072,0.008310249,0.0002298968,0.05912432,0.0001545637,0.0003702667],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902259,0.00002614068,0.006727532,0.0002885079,0.0002752078,0.0001375694,0.0002036002,0.00004977102,0.002065813],"genre_scores_gemma":[0.8027638,0.000004850251,0.196715,0.0001583433,0.0000367127,0.000009237359,0.0001521275,0.00001639766,0.0001435504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.31179,"threshold_uncertainty_score":0.6214793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08618013488202303,"score_gpt":0.3100320847424515,"score_spread":0.2238519498604285,"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."}}