{"id":"W6931744921","doi":"10.5281/zenodo.8143271","title":"Data from: Effects of forests urbanization on the interplay between small mammal communities and their gut microbiota","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Neonatal Respiratory Health Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Horizon 2020 Framework Programme; Agence Nationale de la Recherche","keywords":"Urbanization; Mammal; Host (biology); Adaptation (eye); Abundance (ecology); Gut flora; Niche; Ecosystem","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001127212,0.0004434338,0.0004586007,0.001766117,0.0006373628,0.001231133,0.0006129617,0.0005566388,0.02748504],"category_scores_gemma":[0.003321495,0.000231154,0.0007606916,0.002697205,0.0003362426,0.0006129249,0.001225497,0.0006664295,0.008279237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003528775,"about_ca_system_score_gemma":0.0009785831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01123248,"about_ca_topic_score_gemma":0.02500349,"domain_scores_codex":[0.9989041,0.0001955419,0.0001592376,0.0002198103,0.0003676839,0.0001536584],"domain_scores_gemma":[0.996847,0.0007482036,0.0006482722,0.0003608546,0.001045111,0.0003505606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003734579,0.0003864958,0.7102041,0.003930366,0.001160608,0.0008782449,0.001628141,0.0008578091,0.02137753,0.0008443087,0.1545935,0.1004044],"study_design_scores_gemma":[0.0001179747,0.0001880456,0.8795747,0.0003755923,0.000306915,0.000346469,0.001038707,0.000388916,0.002756978,0.0002744645,0.1145875,0.00004390139],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.3320445,0.001414441,0.002502106,0.001543745,0.000355469,0.0003360523,0.6413188,0.0007300167,0.01975482],"genre_scores_gemma":[0.4087341,0.001607964,0.009491902,0.001466447,0.0003320407,0.00105078,0.5585222,0.0003813568,0.01841322],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02748504,"threshold_uncertainty_score":0.0919466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0950547513318485,"score_gpt":0.3296476373454866,"score_spread":0.2345928860136381,"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."}}