{"id":"W4394273123","doi":"10.6084/m9.figshare.1287365","title":"Effect of Roadside Vegetation Cutting on Moose Browsing","year":2015,"lang":"en","type":"dataset","venue":"Figshare","topic":"Plant Pathogens and Fungal Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vegetation (pathology); Geography; Environmental science; Physical geography; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007873923,0.0002119223,0.0002196546,0.00005202742,0.0000312113,0.00001840631,0.0001885221,0.0002689054,0.001284028],"category_scores_gemma":[0.001674304,0.0001879348,0.0001222287,0.00004597585,0.000004970409,0.000002073262,0.0001025161,0.0001114196,0.0003360151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001189962,"about_ca_system_score_gemma":0.00008479246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004972577,"about_ca_topic_score_gemma":0.000007779117,"domain_scores_codex":[0.9991066,0.0001050753,0.0001654222,0.0002867015,0.0001796142,0.0001565626],"domain_scores_gemma":[0.9992374,0.0000539461,0.000197122,0.0003423806,0.00008563926,0.00008352225],"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":[0.00008548437,0.00002154668,0.000004711741,0.0006470915,0.00003136358,0.00001934848,9.662078e-7,0.00008418968,0.01113974,2.596162e-8,0.9869857,0.0009798016],"study_design_scores_gemma":[0.0002646178,0.0006950044,0.0001109535,0.002167461,0.00005694525,0.000008816726,8.983408e-7,0.00002224669,0.0240872,6.503736e-7,0.9723672,0.0002180421],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001033596,0.001374088,6.79474e-8,0.000001005234,0.00006317659,0.0001813213,0.9970759,0.000006606727,0.0002642827],"genre_scores_gemma":[0.002694444,0.00001804217,0.000005123721,0.00005331124,0.0002960674,0.00004825873,0.9968365,0.00001713825,0.00003112914],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01461857,"threshold_uncertainty_score":0.999629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01748602740195429,"score_gpt":0.276216835330535,"score_spread":0.2587308079285808,"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."}}