{"id":"W6961817835","doi":"10.15468/dl.mr5nx7","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Download; Range (aeronautics); Set (abstract data type); Data set","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":[0.0009549969,0.001889391,0.001440345,0.004385363,0.0009996288,0.002412969,0.002925996,0.001963969,0.1380627],"category_scores_gemma":[0.006329033,0.0008526219,0.001245497,0.008358185,0.0004550638,0.002191213,0.002407825,0.002072098,0.1963337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001568527,"about_ca_system_score_gemma":0.002385484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02324075,"about_ca_topic_score_gemma":0.03753669,"domain_scores_codex":[0.9990081,0.0001341648,0.0001297694,0.0003449043,0.0002274641,0.0001555259],"domain_scores_gemma":[0.9976394,0.00067824,0.0001992205,0.000633244,0.0005892458,0.0002605814],"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":[0.00002987331,0.0000123654,0.0003710702,0.0004309839,0.00001373727,0.00001504659,0.00002238165,0.0001331296,0.0001002409,0.0003764887,0.9971256,0.00136911],"study_design_scores_gemma":[0.00009263132,0.000009634095,0.001998402,0.0001825849,0.00001552208,0.00004433015,0.00008764672,0.0002499093,0.0002211771,0.0009988206,0.9960797,0.00001961464],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005264816,0.00002498457,0.00005840055,0.00004602116,0.00001282976,0.000006597242,0.9985828,0.0005621851,0.0006534409],"genre_scores_gemma":[0.0001756491,0.00002844678,0.0002270714,0.00004479239,0.000003283549,0.00004390902,0.9989014,0.0001621909,0.0004132051],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8619373,"threshold_uncertainty_score":0.4618657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06370320266780717,"score_gpt":0.3247006128524287,"score_spread":0.2609974101846216,"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."}}