{"id":"W6887203852","doi":"10.15468/dl.syfv2j","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); Field (mathematics); 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":[0.0009835726,0.002060919,0.001544752,0.005369865,0.0009181945,0.002483099,0.002762024,0.001986882,0.1421701],"category_scores_gemma":[0.005578608,0.0008816553,0.001202778,0.009950727,0.0004471967,0.002123526,0.002518786,0.001817318,0.2059861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001597658,"about_ca_system_score_gemma":0.002296823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02130605,"about_ca_topic_score_gemma":0.03431191,"domain_scores_codex":[0.9989053,0.0001529611,0.000145828,0.0003686232,0.0002401046,0.0001872303],"domain_scores_gemma":[0.9976642,0.0005962464,0.000238473,0.0006457001,0.0005662464,0.0002891126],"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":[0.00003341223,0.00001168198,0.0003817681,0.0005592373,0.00001737504,0.00001633511,0.00002236367,0.0001298029,0.0001254409,0.0003749547,0.9968748,0.001452794],"study_design_scores_gemma":[0.0000779618,0.000009505229,0.002102786,0.0001877111,0.00001586434,0.00004211406,0.0000661532,0.0001492272,0.0002108605,0.0007610692,0.9963587,0.00001799403],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004740711,0.00003059205,0.00003776327,0.00003436238,0.00001104783,0.00000521195,0.9988641,0.0003721628,0.0005974468],"genre_scores_gemma":[0.0001650572,0.0000317448,0.0001546456,0.00004282343,0.00000331964,0.00003363362,0.9990638,0.0001146494,0.0003904035],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8578299,"threshold_uncertainty_score":0.4756065,"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."}}