{"id":"W4393685052","doi":"10.5281/zenodo.10285328","title":"The Stampede Elm Tree, Calgary, Alberta","year":2021,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tree (set theory); Forestry; Computer science; Geography; Mathematics; Combinatorics","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":[0.0003438478,0.001600282,0.001001035,0.003629323,0.001363593,0.002616978,0.001881006,0.0007605981,0.04162931],"category_scores_gemma":[0.00141322,0.0005534292,0.0004884702,0.01138451,0.0003955944,0.0008590144,0.001164457,0.001268413,0.06293548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00436983,"about_ca_system_score_gemma":0.00673808,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.766517,"about_ca_topic_score_gemma":0.8985766,"domain_scores_codex":[0.9995956,0.00001898449,0.00001655814,0.0001151176,0.0001461591,0.0001075688],"domain_scores_gemma":[0.9992939,0.00006925748,0.00004436907,0.0001101434,0.0003448571,0.000137478],"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":[0.00003376323,0.00001176719,0.001560202,0.000210954,0.00001044654,0.00002984643,0.00007540047,0.0002744427,0.0001113991,0.0005505356,0.9922536,0.004877689],"study_design_scores_gemma":[0.00004798214,0.000004211953,0.01300327,0.0002159863,0.00001307691,0.0000304964,0.0002559232,0.0004975305,0.0002803784,0.0007598777,0.9848651,0.00002617204],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004452001,0.0001275949,0.00006251611,0.00003984946,0.00001311494,0.000008547331,0.9961926,0.0004533557,0.002657245],"genre_scores_gemma":[0.0007222001,0.0001252325,0.0002947179,0.00001392771,0.000003106252,0.00001724491,0.9968036,0.0000975953,0.001922289],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.233483,"threshold_uncertainty_score":0.469716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01477860642214568,"score_gpt":0.218919540866385,"score_spread":0.2041409344442393,"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."}}