{"id":"W6943515129","doi":"10.15468/dl.n8wb5c","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":"Download; Matching (statistics); Range (aeronautics); Data access","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":[0.001015996,0.001947533,0.001663428,0.005212725,0.001041416,0.002809882,0.002852316,0.002065046,0.1778775],"category_scores_gemma":[0.00654765,0.00094494,0.001197747,0.01042551,0.0004490679,0.002747999,0.002753807,0.002089364,0.2465146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00161579,"about_ca_system_score_gemma":0.002365067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02021288,"about_ca_topic_score_gemma":0.03442112,"domain_scores_codex":[0.9988268,0.0001678229,0.0001478117,0.0004229582,0.000246591,0.0001880315],"domain_scores_gemma":[0.9971648,0.0008046867,0.0002547665,0.0007608369,0.0007038625,0.0003111538],"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":[0.00002549609,0.000009832617,0.0003066502,0.000514503,0.00001311398,0.00001251384,0.00002102806,0.0001049668,0.00008724265,0.0003696731,0.9973112,0.001223681],"study_design_scores_gemma":[0.00006350208,0.000007143595,0.001459957,0.0001859483,0.00001240753,0.00002989912,0.00006693009,0.0001260451,0.0001409481,0.0008123069,0.9970788,0.00001617467],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003359163,0.00002618342,0.00004139141,0.0000362123,0.00001167011,0.000005058651,0.9988322,0.0003448656,0.0006687783],"genre_scores_gemma":[0.0001467265,0.00003617548,0.0001909415,0.00004935627,0.000003782755,0.00004122652,0.9988411,0.0001632294,0.0005274431],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8221225,"threshold_uncertainty_score":0.5950595,"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."}}