{"id":"W7104393528","doi":"10.15468/dl.t5nn8b","title":"Occurrence Download","year":2025,"lang":"","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); Set (abstract data type); 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":[0.0008188425,0.001749535,0.00142456,0.004862669,0.001023635,0.002660565,0.002702631,0.00193067,0.1722737],"category_scores_gemma":[0.005906486,0.0008801348,0.001067578,0.009618928,0.0004141965,0.002457439,0.00251414,0.001993122,0.2365592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001706529,"about_ca_system_score_gemma":0.002452838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02592821,"about_ca_topic_score_gemma":0.04262814,"domain_scores_codex":[0.9990237,0.0001207498,0.0001187524,0.0003449951,0.0002297678,0.0001621506],"domain_scores_gemma":[0.9976795,0.0006157419,0.0002149296,0.000586593,0.0006384737,0.0002648494],"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":[0.00002354795,0.000009615822,0.0003597292,0.0004257459,0.0000114601,0.00001281743,0.00002222599,0.0001025698,0.00008724363,0.0003723371,0.9970809,0.00149178],"study_design_scores_gemma":[0.00004933144,0.000005837906,0.001515046,0.0001608089,0.0000109626,0.00003028985,0.0000738411,0.0001447694,0.0001657203,0.0007200205,0.9971084,0.00001503765],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004092552,0.00002511976,0.00005218678,0.00003953853,0.00001178457,0.000005073404,0.9985155,0.0004799858,0.0008299535],"genre_scores_gemma":[0.000191866,0.00003439148,0.0002403115,0.00004886071,0.000003748927,0.00004004347,0.9986065,0.0001922338,0.0006419182],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8277262,"threshold_uncertainty_score":0.576313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01434536157882973,"score_gpt":0.2311093459842124,"score_spread":0.2167639844053826,"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."}}