{"id":"W6924675442","doi":"10.15468/dl.7krqet","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geodetic datum; Coordinate system; Matching (statistics); Download; Range (aeronautics); Geographic coordinate conversion","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":[0.0009358266,0.001819486,0.001536599,0.004967048,0.001022878,0.002957196,0.002753211,0.00182161,0.1957203],"category_scores_gemma":[0.006279351,0.0009248362,0.001340622,0.00982273,0.0004132328,0.002605256,0.002785439,0.001862996,0.2762431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001474619,"about_ca_system_score_gemma":0.002338648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02030787,"about_ca_topic_score_gemma":0.0320999,"domain_scores_codex":[0.9989079,0.0001330183,0.0001436134,0.0003865254,0.000239121,0.0001898541],"domain_scores_gemma":[0.9975345,0.0006389266,0.000208182,0.0006872246,0.000671229,0.0002598599],"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":[0.00002777347,0.000009241525,0.0004271775,0.0005386634,0.00001506364,0.00001603381,0.0000263267,0.000125866,0.0001199423,0.0004027598,0.9962866,0.002004424],"study_design_scores_gemma":[0.00004768016,0.000006526008,0.001616992,0.0001641289,0.00001229528,0.00003293693,0.00007435794,0.0001538333,0.0001668915,0.0007362076,0.9969723,0.00001574568],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004647538,0.00003242803,0.0000673299,0.00004325327,0.00001718627,0.0000060067,0.9982406,0.0006635601,0.0008831079],"genre_scores_gemma":[0.00019113,0.00004296132,0.0002670333,0.00005402924,0.000004758195,0.00004234794,0.9985114,0.0002437402,0.0006426594],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8042797,"threshold_uncertainty_score":0.6547498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01437393559742932,"score_gpt":0.2320798631925623,"score_spread":0.217705927595133,"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."}}