{"id":"W7104845596","doi":"10.15468/dl.fuy35y","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); 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":[0.0009453582,0.001803112,0.001498681,0.005099102,0.0009382626,0.002440194,0.002710474,0.00189495,0.1644149],"category_scores_gemma":[0.005737358,0.0008666695,0.001078584,0.00961677,0.0004385837,0.002089795,0.002580913,0.001873931,0.2203905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001527406,"about_ca_system_score_gemma":0.002409508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02192413,"about_ca_topic_score_gemma":0.03578943,"domain_scores_codex":[0.999,0.000126915,0.0001253707,0.0003397788,0.0002276318,0.0001803233],"domain_scores_gemma":[0.9975947,0.0006155797,0.0002403385,0.0006469165,0.0005942154,0.0003082549],"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":[0.00003120531,0.0000109849,0.0003867039,0.0005312845,0.00001466894,0.00001382052,0.00002226761,0.0001032583,0.0001346591,0.0003719103,0.9970189,0.001360332],"study_design_scores_gemma":[0.0000745885,0.0000081934,0.002104455,0.000190528,0.0000146169,0.00003383456,0.00007114732,0.0001251008,0.0002041102,0.0006801364,0.9964772,0.00001613312],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004058414,0.00002223117,0.00003533586,0.0000293945,0.000009862313,0.000004905676,0.9989439,0.0003274536,0.0005862658],"genre_scores_gemma":[0.0001537941,0.00002828878,0.0001548121,0.00003881214,0.000003234315,0.00003488124,0.9990487,0.0001255364,0.000412047],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8355851,"threshold_uncertainty_score":0.5500227,"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."}}