{"id":"W7083312897","doi":"10.15468/dl.9ur9re","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Research, Science, and Academia","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set; 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":[0.0009578035,0.001923097,0.001509612,0.005061024,0.0008560001,0.002375655,0.002707291,0.001923637,0.1279246],"category_scores_gemma":[0.005714224,0.0008174914,0.001179994,0.009476198,0.0004383154,0.002045185,0.002292521,0.001809317,0.1826878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001639414,"about_ca_system_score_gemma":0.002247803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02107848,"about_ca_topic_score_gemma":0.03472502,"domain_scores_codex":[0.9989488,0.0001474687,0.0001412855,0.0003501527,0.0002385875,0.0001738158],"domain_scores_gemma":[0.9977313,0.0006157524,0.0002238165,0.0005925226,0.000566777,0.0002699372],"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":[0.00003571431,0.00001248189,0.000406969,0.0005680958,0.00001770997,0.00001579506,0.00002080701,0.0001524077,0.0001182032,0.0004010346,0.9968329,0.001417902],"study_design_scores_gemma":[0.00009265995,0.00000937831,0.002087644,0.0002001236,0.0000163739,0.00003983283,0.00006650893,0.0001925146,0.0002144315,0.000823593,0.9962394,0.00001743846],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004969868,0.00003040335,0.0000373458,0.00003450106,0.00001014724,0.000005560245,0.9988806,0.0003500191,0.00060168],"genre_scores_gemma":[0.000180806,0.00003387935,0.0001572182,0.00004358005,0.000003118388,0.00003523651,0.9990675,0.0001122969,0.0003664124],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8720754,"threshold_uncertainty_score":0.4279503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06130469671725736,"score_gpt":0.3451450649595874,"score_spread":0.28384036824233,"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."}}