{"id":"W2126162909","doi":"10.1371/journal.pntd.0001897","title":"A Transcriptomic Analysis of Echinococcus granulosus Larval Stages: Implications for Parasite Biology and Host Adaptation","year":2012,"lang":"en","type":"article","venue":"PLoS neglected tropical diseases","topic":"Parasitic infections in humans and animals","field":"Medicine","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Wellcome Trust; Governo Brasil; Canadian Institutes of Health Research; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Wellcome","keywords":"Biology; Echinococcus granulosus; Parasite hosting; Transcriptome; Gene expression profiling; Context (archaeology); Genetics; Gene; Gene expression; Zoology","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":[0.000005433055,0.000128828,0.0004082454,0.0002997329,0.0001184706,0.00001032922,0.00004266907,0.00007636944,0.00006242536],"category_scores_gemma":[0.0002083419,0.0001085179,0.0002218521,0.0004538628,0.0001366513,0.00007710057,0.000007560124,0.00007088901,0.000001914926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003149024,"about_ca_system_score_gemma":0.00004084574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002627305,"about_ca_topic_score_gemma":0.00002322538,"domain_scores_codex":[0.9991322,0.0000595259,0.0002821633,0.0002013297,0.00006622423,0.0002586119],"domain_scores_gemma":[0.9991759,0.0002352018,0.00007545279,0.000179635,0.0001385544,0.0001952303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002433197,0.0008733285,0.8265156,0.0001062684,0.001195462,3.303022e-7,0.000152746,0.000003867391,0.1625922,0.007639327,0.00002599518,0.0006515912],"study_design_scores_gemma":[0.0009273025,0.0003213208,0.989769,0.00002640628,0.006526629,0.000002631221,0.0000340431,0.00121216,0.0006719821,0.0003216706,0.00008332099,0.0001035544],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855859,0.001202927,0.01157144,0.0001864486,0.00003272292,0.0004958,0.0008028075,0.00006844114,0.00005349196],"genre_scores_gemma":[0.9982801,0.0001195533,0.0009160897,0.0001020636,0.0001023416,0.000169855,0.0002822273,0.00001307569,0.00001467243],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1632535,"threshold_uncertainty_score":0.4425232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04289320639180218,"score_gpt":0.3414506699781632,"score_spread":0.298557463586361,"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."}}