{"id":"W2530600497","doi":"10.1016/j.ygeno.2016.10.002","title":"Tissue-specific transcriptome characterization for developing tadpoles of the northern leopard frog (Lithobates pipiens)","year":2016,"lang":"en","type":"article","venue":"Genomics","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trent University; University of Waterloo","funders":"Trent University","keywords":"Biology; Transcriptome; Leopard frog; Amphibian; Xenopus; Lithobates; Gene; RNA-Seq; Tadpole (physics); Zebrafish; Genetics; Evolutionary biology; Computational biology; Gene expression; Ecology","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":[0.00008279042,0.0001744904,0.0001876376,0.0004490699,0.0002827764,0.0003093105,0.0001250155,0.000137663,0.0009515964],"category_scores_gemma":[0.00006736207,0.0001646998,0.0002489238,0.0002462394,0.000167732,0.0002189885,0.0001701504,0.0003237468,0.0002612087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001851699,"about_ca_system_score_gemma":0.0002283867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00161564,"about_ca_topic_score_gemma":0.005469292,"domain_scores_codex":[0.9999505,0.000003126727,0.000003318198,0.00002204431,0.000009051076,0.00001189694],"domain_scores_gemma":[0.9999235,0.00001286569,0.00002047775,0.000006699023,0.00001629089,0.00002015474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00004408906,0.000005640575,0.002666452,0.00002497776,0.000005181347,0.00003818186,0.00005023919,0.00002302117,0.9960606,0.00004699002,0.00002187787,0.001012708],"study_design_scores_gemma":[0.00001488829,0.0002696671,0.7777606,0.00002149267,0.0001041579,0.0006699025,0.0005233996,0.0008112036,0.2155034,0.00008801874,0.00421743,0.00001593205],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993024,0.0006870909,0.002315669,0.000030437,0.00000777261,0.00002374754,0.002038812,0.00003291844,0.001839502],"genre_scores_gemma":[0.9830502,0.0007400179,0.003618818,0.00008430866,0.00001008069,0.00008995475,0.007371585,0.000066002,0.004969091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00161564,"threshold_uncertainty_score":0.003212452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01330566833879283,"score_gpt":0.2389612756690987,"score_spread":0.2256556073303059,"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."}}