{"id":"W6943445498","doi":"10.15468/dl.ja7rrm","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":"Download; Matching (statistics); Range (aeronautics); Order (exchange)","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":[0.001024954,0.002016385,0.001574589,0.005253342,0.0009092205,0.002605339,0.002786917,0.002023484,0.1458264],"category_scores_gemma":[0.006043144,0.0008929933,0.001226169,0.009756312,0.0004380615,0.002208327,0.002521297,0.001890801,0.2089119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001610569,"about_ca_system_score_gemma":0.002310977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02147013,"about_ca_topic_score_gemma":0.03351033,"domain_scores_codex":[0.9988951,0.0001569082,0.0001509825,0.0003665912,0.0002477512,0.000182616],"domain_scores_gemma":[0.9974558,0.0006887644,0.0002525126,0.0006895717,0.0006224408,0.0002908793],"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":[0.00003118382,0.00001107866,0.0003612777,0.0005839776,0.00001773787,0.00001473938,0.00002105699,0.0001348505,0.0001182915,0.0003734901,0.9969047,0.001427646],"study_design_scores_gemma":[0.00007619104,0.00000884019,0.001931832,0.0001998603,0.00001595945,0.00003721345,0.00006102601,0.0001517224,0.0001989856,0.0007733429,0.9965269,0.00001809299],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003831376,0.00002862385,0.00003650778,0.00003398281,0.00001057061,0.000004999189,0.9989364,0.0003531197,0.0005574677],"genre_scores_gemma":[0.0001545776,0.00003418973,0.0001576921,0.00004516304,0.000003380213,0.00003528156,0.9990491,0.0001207548,0.0003998285],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8541735,"threshold_uncertainty_score":0.487838,"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."}}