{"id":"W6887030933","doi":"10.15468/dl.jb4tyd","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":"Matching (statistics); Range (aeronautics); Set (abstract data type); Identification (biology); Download","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":[0.0008563697,0.002055635,0.001480238,0.00477631,0.0009953969,0.002366249,0.002728469,0.001836864,0.1475428],"category_scores_gemma":[0.005836991,0.0008719516,0.001234373,0.009336658,0.0004215767,0.002129352,0.002421133,0.001781859,0.2005838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001553155,"about_ca_system_score_gemma":0.002379023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.025613,"about_ca_topic_score_gemma":0.04300956,"domain_scores_codex":[0.9989975,0.000127662,0.0001312456,0.0003493152,0.0002314442,0.0001628643],"domain_scores_gemma":[0.997655,0.0006451635,0.0002229946,0.0006136645,0.0006031232,0.0002599939],"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":[0.00003161667,0.00001129307,0.0003894265,0.0004824013,0.00001423323,0.00001500769,0.00002279619,0.0001279189,0.0001146487,0.0003686652,0.9968672,0.001554626],"study_design_scores_gemma":[0.00007545855,0.00001034659,0.001972607,0.0001758219,0.00001507134,0.00004253434,0.00006983415,0.0001855274,0.0002090188,0.000813676,0.9964113,0.00001883866],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005256255,0.00002992066,0.00005016047,0.00003612781,0.00001258539,0.000005489233,0.9985825,0.0005310002,0.0006997162],"genre_scores_gemma":[0.0001606537,0.00003250075,0.0002136744,0.00004205392,0.000003172394,0.00003535211,0.9988735,0.0001619597,0.0004770994],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8524572,"threshold_uncertainty_score":0.4935797,"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."}}