{"id":"W7115570799","doi":"10.15468/dl.9uncb8","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; Phragmites; Range (aeronautics); Matching (statistics); Invasive species","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":[0.0008870351,0.002019888,0.001571159,0.005157783,0.0009579207,0.002579565,0.002639328,0.002078846,0.1350765],"category_scores_gemma":[0.005826287,0.0008616417,0.001428343,0.009692947,0.0004200483,0.00243857,0.002502856,0.001981759,0.2006487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001659774,"about_ca_system_score_gemma":0.002302834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02164501,"about_ca_topic_score_gemma":0.03357061,"domain_scores_codex":[0.9988946,0.000134428,0.0001475718,0.0003909886,0.0002392958,0.0001930888],"domain_scores_gemma":[0.9975865,0.0006366388,0.0002249028,0.000645293,0.0006299398,0.0002767819],"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":[0.00004103484,0.00001359521,0.0005595994,0.0006656749,0.00001890362,0.00001875358,0.00002440475,0.000183921,0.0001391412,0.0003905248,0.995912,0.002032385],"study_design_scores_gemma":[0.00008464552,0.00001227532,0.002509253,0.0002311646,0.00001620846,0.00004526161,0.00008814475,0.0002581228,0.0001984593,0.0007733497,0.9957638,0.00001919512],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005223581,0.00003294609,0.00004311808,0.00004054944,0.00001543697,0.000005665351,0.998798,0.0004437683,0.0005681996],"genre_scores_gemma":[0.0001683,0.00003692729,0.0001942628,0.00004467691,0.000004037614,0.00003527742,0.998992,0.0001109895,0.000413539],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8649235,"threshold_uncertainty_score":0.451876,"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."}}