{"id":"W6962016449","doi":"10.15468/dl.3vkbsd","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); Listing (finance); Range (aeronautics); Order (exchange)","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":[0.0009930984,0.001902804,0.001409639,0.005212137,0.0009035596,0.002391217,0.002561257,0.001663042,0.1726303],"category_scores_gemma":[0.00574941,0.0008461592,0.001146582,0.009372504,0.0004125375,0.002083751,0.002620487,0.00168009,0.2343362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001629329,"about_ca_system_score_gemma":0.002403889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02631042,"about_ca_topic_score_gemma":0.04368271,"domain_scores_codex":[0.9990182,0.0001227443,0.0001314931,0.0003169902,0.0002312242,0.0001792803],"domain_scores_gemma":[0.9976051,0.0005810358,0.0002283852,0.0006318573,0.0006683492,0.0002853511],"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":[0.00002840557,0.000008870624,0.0003443231,0.0005162863,0.00001361762,0.00001336811,0.00002083759,0.00009750799,0.0001106436,0.0003493203,0.9969962,0.001500707],"study_design_scores_gemma":[0.000056089,0.000006745579,0.001884046,0.0002022896,0.00001273949,0.00003085474,0.00005900577,0.0001049987,0.0001832882,0.0006667595,0.9967777,0.00001533574],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002887942,0.00001872183,0.00003230596,0.00002430662,0.000008552353,0.000004558524,0.9989705,0.0003039014,0.0006083115],"genre_scores_gemma":[0.0001332293,0.0000287196,0.0001638092,0.00003931154,0.000002962164,0.00003384203,0.9990306,0.0001321613,0.0004354556],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8273697,"threshold_uncertainty_score":0.5775058,"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."}}