{"id":"W6924621472","doi":"10.15468/dl.vjdme2","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":[0.0008196364,0.001956687,0.00139306,0.004520324,0.0009734794,0.002217158,0.002662494,0.001778636,0.1344748],"category_scores_gemma":[0.005217301,0.0008283534,0.001204792,0.008826401,0.0004262633,0.002070502,0.00239905,0.001700836,0.1882719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001484843,"about_ca_system_score_gemma":0.00232994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02488942,"about_ca_topic_score_gemma":0.04316875,"domain_scores_codex":[0.9990456,0.0001188776,0.0001255833,0.0003368469,0.0002137876,0.0001593849],"domain_scores_gemma":[0.997903,0.0005436548,0.0002037722,0.000545829,0.0005567023,0.0002470823],"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":[0.00003427167,0.00001309669,0.0004544405,0.0005050044,0.00001452807,0.00001612558,0.00002470778,0.0001307323,0.0001408858,0.0003890053,0.9966083,0.001668952],"study_design_scores_gemma":[0.00007540051,0.00001100691,0.002188854,0.0001764463,0.00001529208,0.0000447774,0.00007599384,0.0001806223,0.0002258313,0.000773897,0.9962128,0.00001914833],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006057222,0.00002967333,0.00004846068,0.00003395393,0.00001260288,0.000005544555,0.9986205,0.000476461,0.0007122307],"genre_scores_gemma":[0.0001652871,0.00002998952,0.0002100783,0.00003965751,0.000002969829,0.00003282003,0.9989429,0.0001324613,0.0004438566],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8655252,"threshold_uncertainty_score":0.4498629,"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."}}