{"id":"W6942938581","doi":"10.15468/dl.wtfbxf","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Download; Ophiostoma; Range (aeronautics); Data set","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":[0.0009462657,0.002024967,0.001588331,0.005048215,0.001007053,0.002644126,0.002818143,0.002004962,0.1618069],"category_scores_gemma":[0.006027032,0.0009456322,0.00115129,0.01016668,0.000431882,0.002364668,0.002522742,0.001916791,0.2205184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001560929,"about_ca_system_score_gemma":0.002305844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01968942,"about_ca_topic_score_gemma":0.03399687,"domain_scores_codex":[0.9989251,0.0001447374,0.0001380302,0.0003810684,0.0002312659,0.0001797528],"domain_scores_gemma":[0.9975777,0.0006646595,0.000226902,0.000620526,0.0006376026,0.0002726077],"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":[0.0000308749,0.00001087047,0.0003593985,0.0005509249,0.00001385416,0.00001400188,0.00002045496,0.0001147676,0.0001193524,0.0003840964,0.9969984,0.001383001],"study_design_scores_gemma":[0.00006734007,0.000008250445,0.001645175,0.000178458,0.00001345669,0.00003332516,0.00005902299,0.0001263236,0.0001833989,0.0007778122,0.9968899,0.00001752323],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004054861,0.00002804919,0.0000409151,0.0000315907,0.00001133576,0.000004840786,0.9988356,0.0003324613,0.0006745944],"genre_scores_gemma":[0.0001555376,0.00003536301,0.0001892715,0.00004505855,0.000003579804,0.00004134674,0.9988777,0.0001437506,0.0005082474],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8381931,"threshold_uncertainty_score":0.541298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}