{"id":"W6939791162","doi":"10.6084/m9.figshare.28248275","title":"Data and code supporting the manuscript: Soil and microbial responses to wild ungulate trampling depend more on ecosystem type than trampling severity","year":2025,"lang":"en","type":"dataset","venue":"Figshare","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Trampling; Ecosystem; Nitrogen cycle; Abiotic component; Cycling; Biogeochemical cycle; Soil organic matter","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006071427,0.002785956,0.003594725,0.004047486,0.002921768,0.006019769,0.00451849,0.005231015,0.6913985],"category_scores_gemma":[0.04546881,0.001452785,0.002126402,0.005331025,0.001931813,0.002968398,0.004578478,0.002923324,0.1895838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0016888,"about_ca_system_score_gemma":0.01032303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006683364,"about_ca_topic_score_gemma":0.01218167,"domain_scores_codex":[0.9951232,0.0005222385,0.0008393993,0.001452283,0.001351807,0.0007110701],"domain_scores_gemma":[0.9814309,0.008405685,0.001730868,0.002611729,0.003963942,0.001856891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001418835,0.0003091515,0.005258036,0.008091033,0.0002414215,0.0009878469,0.0005914188,0.002993116,0.002517117,0.01531657,0.9067031,0.05557236],"study_design_scores_gemma":[0.002592944,0.0003145949,0.009364371,0.005845614,0.0001792876,0.0007527394,0.0005704453,0.005892578,0.0009583076,0.03654873,0.9367396,0.000240928],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003376864,0.000438354,0.0123725,0.004022627,0.01130011,0.004002692,0.9322377,0.003363502,0.02888561],"genre_scores_gemma":[0.06467484,0.002410534,0.1526491,0.01317621,0.004770548,0.03636947,0.6308138,0.008751211,0.08638429],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6913985,"threshold_uncertainty_score":0.4401826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1053829525191188,"score_gpt":0.3475935155625918,"score_spread":0.242210563043473,"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."}}