{"id":"W6962510077","doi":"10.15468/dl.z9r7x4","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Download; Data set; Range (aeronautics); Set (abstract data type)","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":[0.0008457062,0.001928838,0.001424234,0.00410316,0.0009855452,0.002332111,0.002786066,0.001961425,0.1412523],"category_scores_gemma":[0.005593844,0.0008521626,0.001223512,0.008224846,0.0004331909,0.002214985,0.002398657,0.001968919,0.2007665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001553121,"about_ca_system_score_gemma":0.002252983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02389997,"about_ca_topic_score_gemma":0.03841615,"domain_scores_codex":[0.9990747,0.0001200514,0.0001198525,0.0003198673,0.0002171262,0.0001483791],"domain_scores_gemma":[0.9979305,0.0005565924,0.0001821111,0.0005492366,0.0005369748,0.0002445297],"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":[0.00002808245,0.00001172867,0.0003599129,0.0004311855,0.00001300852,0.00001494549,0.00002235514,0.0001242456,0.00009708444,0.0003582359,0.9971753,0.001363827],"study_design_scores_gemma":[0.00008901175,0.000008968264,0.001996452,0.0001726968,0.00001406129,0.00004145376,0.00007927491,0.0002309062,0.0002039523,0.0008576835,0.9962877,0.00001782899],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005398128,0.0000275361,0.00005431187,0.00004551879,0.00001328808,0.000006423124,0.998556,0.0005397634,0.0007032156],"genre_scores_gemma":[0.0001769284,0.00003062384,0.0002130314,0.0000465915,0.00000345192,0.00004197766,0.9988945,0.0001558029,0.0004371043],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8587477,"threshold_uncertainty_score":0.4725361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01583313752165829,"score_gpt":0.2207073729463884,"score_spread":0.2048742354247301,"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."}}