{"id":"W6924633683","doi":"10.15468/dl.hdxqw9","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":"Download; Matching (statistics); Range (aeronautics); 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":[0.001002911,0.001912675,0.00157566,0.005203293,0.0009597985,0.002628723,0.002792238,0.001948263,0.1626266],"category_scores_gemma":[0.00575368,0.0009205271,0.001150001,0.01052793,0.0004324297,0.002397129,0.002443298,0.001877592,0.2172414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001682056,"about_ca_system_score_gemma":0.002310704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0218284,"about_ca_topic_score_gemma":0.03391876,"domain_scores_codex":[0.9989855,0.0001308273,0.0001346581,0.0003615222,0.0002172009,0.0001701989],"domain_scores_gemma":[0.9977919,0.0006213334,0.0002195105,0.000565215,0.0005448857,0.0002571826],"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":[0.00003024229,0.0000104871,0.0003838229,0.0006017453,0.0000161108,0.0000154408,0.00002467668,0.0001355367,0.0001237877,0.0004372783,0.9966866,0.001534246],"study_design_scores_gemma":[0.00006388474,0.000007236077,0.001714611,0.0001869003,0.0000144859,0.00003317348,0.00006749943,0.0001402816,0.0001782037,0.0007609329,0.9968162,0.00001661091],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003659014,0.00002581309,0.00004284267,0.00002966219,0.00001054958,0.00000455639,0.9989238,0.0003200423,0.0006060648],"genre_scores_gemma":[0.0001560829,0.00003357461,0.0001896983,0.00004133968,0.00000318602,0.00003592921,0.9989585,0.0001366527,0.0004451285],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8373734,"threshold_uncertainty_score":0.5440401,"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."}}