{"id":"W7108078533","doi":"10.15468/dl.5vuqap","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; Matching (statistics); Range (aeronautics); R package; Upload","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":[0.0009321518,0.001803892,0.001672396,0.005388964,0.001097323,0.002903844,0.002762034,0.002019168,0.204906],"category_scores_gemma":[0.006693454,0.0009463243,0.001204806,0.01006173,0.0003902815,0.002599125,0.002643016,0.001941409,0.2612287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001782289,"about_ca_system_score_gemma":0.002618833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02251814,"about_ca_topic_score_gemma":0.03597282,"domain_scores_codex":[0.9988471,0.0001374603,0.0001536416,0.0004071286,0.0002601041,0.0001945686],"domain_scores_gemma":[0.9973949,0.0007209081,0.0002437295,0.0006415277,0.0007234812,0.0002754247],"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":[0.00003163011,0.00001001067,0.0004115572,0.0006418232,0.00001513588,0.000016125,0.00002336956,0.0001077096,0.0001136965,0.0004384328,0.9963291,0.001861383],"study_design_scores_gemma":[0.00005329283,0.000006669648,0.001480037,0.0001965426,0.00001310926,0.0000329004,0.00006580145,0.0001240522,0.0001664728,0.000661265,0.9971845,0.0000152685],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003586967,0.00002931324,0.00005009089,0.00003555701,0.00001137354,0.000004666805,0.9986516,0.0004326827,0.0007488342],"genre_scores_gemma":[0.0001618048,0.0000423126,0.0002288174,0.00004980657,0.000003696803,0.00003972043,0.9986632,0.0001837516,0.0006268399],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.795094,"threshold_uncertainty_score":0.6854789,"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."}}