{"id":"W6929560353","doi":"10.5061/dryad.hx3ffbggk","title":"Data from: Human impacts on mammals in and around a protected area before, during, and after COVID‐19 lockdowns","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Hepatitis C virus research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"World Wildlife Fund Canada; University of British Columbia","funders":"","keywords":"Wildlife; Recreation; Habitat; Biodiversity; Wildlife management; Protected area; National park; Human settlement; Snowshoe hare","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006978648,0.0004003717,0.000395359,0.001703655,0.0005890367,0.0008249183,0.0006356588,0.000461605,0.01716765],"category_scores_gemma":[0.003599214,0.0002366959,0.0003665584,0.002369779,0.0002277864,0.000369157,0.0008122614,0.0006115731,0.006869286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001024229,"about_ca_system_score_gemma":0.001737718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1843777,"about_ca_topic_score_gemma":0.2868395,"domain_scores_codex":[0.9992624,0.00008571181,0.00009890153,0.0001639793,0.0002878854,0.0001011238],"domain_scores_gemma":[0.9969525,0.0006347476,0.0005715055,0.0003229934,0.001237381,0.0002807988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007732067,0.0002484854,0.6195954,0.001163853,0.0002490049,0.0003515888,0.0009324154,0.001127878,0.001297498,0.0006013875,0.3211022,0.05255703],"study_design_scores_gemma":[0.0001140128,0.0001063213,0.8319301,0.0003891636,0.00008081294,0.0001394454,0.0008532269,0.0005450145,0.0008705864,0.0001726485,0.1647633,0.00003535952],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.07286318,0.0003018872,0.0005751564,0.0002639944,0.00009107606,0.0002392152,0.9136655,0.000189991,0.01180994],"genre_scores_gemma":[0.1205248,0.0004014286,0.001681866,0.0002646975,0.00004952948,0.0008420827,0.8644912,0.00007899216,0.01166554],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1843777,"threshold_uncertainty_score":0.3666089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0799988792551555,"score_gpt":0.3262863487785463,"score_spread":0.2462874695233908,"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."}}