{"id":"W6948494873","doi":"10.5061/dryad.sqv9s4nf6","title":"Data from: The influence of human presence and footprint on animal space use in US national parks","year":2025,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Plant and Fungal Species Descriptions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Science Foundation","keywords":"Wildlife; Recreation; National park; Footprint; Closure (psychology); Biodiversity; Raw data; Wildlife management; Bushmeat","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001626436,0.0001121521,0.0001286676,0.00002563428,0.00005407547,0.0001022415,0.001139503,0.0001467439,0.00007081584],"category_scores_gemma":[0.0003104615,0.00008959401,0.00001459912,0.00005202506,0.0000944505,0.000008410905,0.00159289,0.0001727572,0.000003485397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009752989,"about_ca_system_score_gemma":0.0001136001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001612795,"about_ca_topic_score_gemma":0.01289601,"domain_scores_codex":[0.9991839,0.00005267009,0.0001586114,0.0003838085,0.0001267122,0.00009428046],"domain_scores_gemma":[0.9991195,0.00008191221,0.00008941308,0.0006447913,0.00004098539,0.00002337746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000993487,0.00005794587,0.001541737,0.000005613603,0.00003643167,0.000004535633,0.000005540217,0.00002331931,0.04161847,0.00001404692,0.9565162,0.00007683706],"study_design_scores_gemma":[0.0001734696,0.00007220957,0.03523247,0.00009716296,0.00001725937,0.000001488493,0.00001078695,0.000006772387,0.001569868,0.000006548979,0.9627115,0.0001004492],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.3747039,0.00006108694,2.149932e-7,0.00004356955,0.00001982872,0.0001462818,0.624756,8.708147e-8,0.0002689786],"genre_scores_gemma":[0.03912238,0.000230432,0.0001158396,0.00006087099,0.00005704221,0.000009056498,0.9599747,0.000002257125,0.0004273891],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3355816,"threshold_uncertainty_score":0.7196275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07740758596141936,"score_gpt":0.3367646902246961,"score_spread":0.2593571042632767,"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."}}