{"id":"W3200019633","doi":"","title":"Can their skin protect them? Dynamics of skin microbiome variation in Canadian urodelans.","year":2019,"lang":"en","type":"report","venue":"ORBi (University of Liège)","topic":"Dermatological diseases and infestations","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Microbiome; Variation (astronomy); Dynamics (music); Internet privacy; Biology; Computer science; Bioinformatics; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001865481,0.0001757903,0.000578135,0.000447893,0.00005029361,0.000005414653,0.0001928517,0.0003491611,0.0006112028],"category_scores_gemma":[0.00002436905,0.0001790628,0.0002062554,0.0003589157,0.0001029976,0.00006328246,0.00005061863,0.0002705978,0.00002804006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008432641,"about_ca_system_score_gemma":0.003395639,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6877196,"about_ca_topic_score_gemma":0.4096804,"domain_scores_codex":[0.9989607,0.00005374705,0.0002188804,0.0002605658,0.0002480727,0.0002580588],"domain_scores_gemma":[0.9987367,0.00003806649,0.0003341504,0.0003488298,0.0003502855,0.0001919154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001039017,0.003736518,0.8389746,0.02018782,0.00339364,0.003034791,0.01702129,0.0004582337,0.003091954,0.01765919,0.05453641,0.03686653],"study_design_scores_gemma":[0.001547601,0.000232019,0.9619899,0.001021814,0.0004448546,0.0001575319,0.00148325,0.002094498,0.00003428802,0.0004547341,0.03008213,0.0004574281],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8627802,0.0002044613,0.000708287,0.01007716,0.0004399073,0.00276276,0.007590721,0.00005303282,0.1153835],"genre_scores_gemma":[0.9928474,0.0003517978,0.0003491444,0.00004976771,0.00001840617,7.907112e-7,0.001330488,0.00001805448,0.005034119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2780392,"threshold_uncertainty_score":0.730197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01845928676438052,"score_gpt":0.2245837916912616,"score_spread":0.2061245049268811,"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."}}