{"id":"W6924585054","doi":"10.15468/dl.wwyusf","title":"Occurrence Download","year":2023,"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); Alien; The Internet","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":[0.001012372,0.001998257,0.001643164,0.005047679,0.001035291,0.002594632,0.002829505,0.002164885,0.1573254],"category_scores_gemma":[0.00612981,0.0009276417,0.001329608,0.009841796,0.000462265,0.002360581,0.002562644,0.00201296,0.2269315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001645716,"about_ca_system_score_gemma":0.002373296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02324477,"about_ca_topic_score_gemma":0.03615598,"domain_scores_codex":[0.9989136,0.0001484909,0.000136603,0.0003827032,0.0002347959,0.0001838164],"domain_scores_gemma":[0.9974191,0.0007487494,0.0002277521,0.0006757128,0.0006448821,0.0002837975],"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":[0.00002945733,0.00001259121,0.0004017059,0.0005703755,0.00001479473,0.00001549937,0.00002437852,0.0001189702,0.0001223887,0.0003418523,0.9969006,0.001447511],"study_design_scores_gemma":[0.00007133284,0.000009664701,0.002172319,0.0002163678,0.00001577646,0.00003865066,0.00008418499,0.0001524735,0.0001990162,0.0006877797,0.9963343,0.00001809546],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004693592,0.00002960291,0.00004157955,0.0000380584,0.00001287334,0.000005691346,0.998803,0.0003927945,0.0006294698],"genre_scores_gemma":[0.0001608899,0.00003474326,0.0001798816,0.00004505062,0.000003535687,0.00004135027,0.9989439,0.0001391846,0.000451507],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8426746,"threshold_uncertainty_score":0.5263058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}