{"id":"W6887108593","doi":"10.15468/dl.pu7kgw","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Range (aeronautics); Set (abstract data type); Identification (biology); Download","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":[0.0008389942,0.002100509,0.001454483,0.004724955,0.0009772768,0.002312735,0.002707216,0.001866394,0.1328116],"category_scores_gemma":[0.005554988,0.0008373113,0.001266943,0.00910838,0.0004314411,0.00208993,0.002377229,0.001711003,0.1864189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001581376,"about_ca_system_score_gemma":0.002355505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02703938,"about_ca_topic_score_gemma":0.04429073,"domain_scores_codex":[0.9989901,0.0001289092,0.0001350325,0.0003527763,0.0002291269,0.0001640247],"domain_scores_gemma":[0.9978504,0.0005855065,0.0002042868,0.000551107,0.0005649116,0.0002438589],"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":[0.0000347703,0.00001276756,0.00044311,0.0005385345,0.00001566149,0.00001659654,0.00002448873,0.0001421224,0.0001255448,0.0003755456,0.996617,0.00165389],"study_design_scores_gemma":[0.00007862264,0.00001167732,0.002181151,0.0001881736,0.00001640371,0.00004564098,0.00007794728,0.0002055979,0.0002175697,0.0007793413,0.996178,0.00001996934],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006042398,0.00003369778,0.00004858241,0.00003546323,0.00001276235,0.00000569839,0.9986088,0.0005202838,0.000674463],"genre_scores_gemma":[0.0001718699,0.00003313604,0.0002091917,0.00004008112,0.000003069302,0.00003418542,0.9989344,0.000139124,0.0004348707],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8671884,"threshold_uncertainty_score":0.4442992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01437393559742932,"score_gpt":0.2320798631925623,"score_spread":0.217705927595133,"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."}}