{"id":"W6924378462","doi":"10.15468/dl.9tga8m","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Set (abstract data type)","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":[0.0008925034,0.00203978,0.001486816,0.004226062,0.0009717858,0.002435986,0.002824154,0.002054611,0.1325995],"category_scores_gemma":[0.005950821,0.0008586731,0.001284169,0.00833821,0.0004328512,0.002220589,0.002375691,0.002011126,0.1954479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001638124,"about_ca_system_score_gemma":0.00234465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02683357,"about_ca_topic_score_gemma":0.04127684,"domain_scores_codex":[0.9990006,0.0001298009,0.0001321538,0.0003376028,0.0002427081,0.0001571257],"domain_scores_gemma":[0.9978105,0.0006094576,0.0001858836,0.0005820035,0.0005692288,0.0002428536],"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":[0.0000304191,0.00001258226,0.0003662582,0.0004254727,0.00001358015,0.00001542524,0.00002004167,0.0001459517,0.00009369886,0.0003380131,0.997153,0.001385516],"study_design_scores_gemma":[0.0001018424,0.00001045621,0.002110133,0.0001888654,0.00001516045,0.00004764702,0.0000812847,0.0003064305,0.0002153043,0.0009270892,0.9959763,0.00001946778],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005262075,0.00002834719,0.00005362279,0.0000451392,0.00001269876,0.000006239236,0.9986313,0.0005454065,0.0006246482],"genre_scores_gemma":[0.000164996,0.00003032765,0.0001980626,0.00004409039,0.000003200864,0.0000370755,0.998992,0.0001374907,0.0003926607],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8674005,"threshold_uncertainty_score":0.4435894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008507960094419374,"score_gpt":0.2026531807321209,"score_spread":0.1941452206377015,"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."}}