{"id":"W6943305147","doi":"10.15468/dl.2pj39e","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); 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":[0.0009797454,0.001896459,0.001604542,0.00514993,0.0009421432,0.002485343,0.00279611,0.00195545,0.1494176],"category_scores_gemma":[0.005504333,0.0008837458,0.001202762,0.009862999,0.0004452861,0.00217553,0.002533701,0.001910847,0.2041965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001511768,"about_ca_system_score_gemma":0.002258367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02027438,"about_ca_topic_score_gemma":0.03310578,"domain_scores_codex":[0.9989502,0.000138465,0.0001380794,0.0003533372,0.0002384095,0.0001815546],"domain_scores_gemma":[0.9977564,0.0005829651,0.0002248491,0.0006069983,0.0005586067,0.0002702315],"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":[0.00003377366,0.00001259012,0.0004088833,0.0006462756,0.00001832776,0.00001611195,0.00002424302,0.000131668,0.0001596447,0.0004088525,0.9965085,0.001631159],"study_design_scores_gemma":[0.00007272476,0.00000898859,0.002135212,0.0002019262,0.000016317,0.00003901912,0.00006650676,0.0001306902,0.0002179824,0.0006997602,0.9963931,0.00001774396],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004514649,0.0000305102,0.00004095097,0.00003117422,0.000011043,0.000005300488,0.9988735,0.000348841,0.0006135465],"genre_scores_gemma":[0.0001591426,0.00003363629,0.000164826,0.00004171884,0.00000314709,0.00003687958,0.999059,0.0001160581,0.0003855037],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8505824,"threshold_uncertainty_score":0.4998517,"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."}}