{"id":"W6961913630","doi":"10.15468/dl.kv9wqy","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; Ailanthus altissima; Matching (statistics); Phragmites; Range (aeronautics)","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":[0.0007739615,0.002886872,0.002165498,0.006839258,0.001422249,0.003746907,0.002935073,0.002775087,0.2199012],"category_scores_gemma":[0.006352099,0.001012664,0.001769856,0.01027091,0.0004310822,0.004276454,0.00369725,0.002213093,0.3135199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001860306,"about_ca_system_score_gemma":0.002359215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0210368,"about_ca_topic_score_gemma":0.03659229,"domain_scores_codex":[0.9987489,0.0001394767,0.0001752823,0.0004284798,0.000292828,0.0002150962],"domain_scores_gemma":[0.9976742,0.0006125416,0.0001897897,0.0005710461,0.0006412718,0.0003110985],"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":[0.00006334552,0.00001812832,0.0004096076,0.000635524,0.00001555761,0.00003644363,0.00002863196,0.0001278009,0.0001354465,0.0004917005,0.9946131,0.003424726],"study_design_scores_gemma":[0.00007849995,0.00001577485,0.001464279,0.0001986841,0.00001605694,0.00008438167,0.0000948223,0.0005070832,0.0002187928,0.001409847,0.9958887,0.00002311163],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001217121,0.0001114964,0.0001795767,0.0001035635,0.00003248254,0.00001592256,0.9938067,0.0031436,0.002484965],"genre_scores_gemma":[0.0003639619,0.00008403601,0.0005699851,0.0001188761,0.00001055003,0.0000493,0.9972276,0.0004986387,0.001077051],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7800987,"threshold_uncertainty_score":0.735643,"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."}}