{"id":"W7080117724","doi":"10.15468/dl.66q2kp","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set; 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":[0.000865715,0.002101632,0.001514298,0.004930383,0.0009364969,0.002368208,0.002867778,0.002078918,0.1206932],"category_scores_gemma":[0.005233256,0.0008614032,0.001181592,0.00899115,0.0004430598,0.002309866,0.002496025,0.001987288,0.1814484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001700093,"about_ca_system_score_gemma":0.002271775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02264947,"about_ca_topic_score_gemma":0.03884778,"domain_scores_codex":[0.9989578,0.0001356854,0.0001321766,0.0003552393,0.0002416303,0.0001775381],"domain_scores_gemma":[0.9978374,0.0005309808,0.0001992507,0.0006102336,0.000557252,0.000264933],"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":[0.00003294076,0.0000123821,0.0003485233,0.0004729874,0.00001522874,0.00001660238,0.00002045824,0.0001386237,0.0001208929,0.0004012005,0.9970451,0.001375206],"study_design_scores_gemma":[0.00007618356,0.000008381427,0.001756914,0.0001527774,0.00001301589,0.00004171522,0.00005917129,0.0001920032,0.0002170663,0.0008051697,0.9966609,0.00001670294],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005376813,0.00003078761,0.00004709739,0.0000395535,0.00001169862,0.000006295104,0.9985745,0.0005255336,0.0007106253],"genre_scores_gemma":[0.0001704483,0.00003041911,0.0001750834,0.00004480386,0.000003024738,0.0000321235,0.99902,0.0001349646,0.0003891649],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8793068,"threshold_uncertainty_score":0.403759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0116959082794947,"score_gpt":0.2070852442648293,"score_spread":0.1953893359853346,"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."}}