{"id":"W6924568332","doi":"10.15468/dl.6eru9y","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); The Internet","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":[0.00108474,0.00192797,0.001587523,0.005889547,0.0009772582,0.002608621,0.002716905,0.001969939,0.1846755],"category_scores_gemma":[0.006418455,0.000960007,0.001185966,0.01050691,0.0004673648,0.002484376,0.002909752,0.001922826,0.2379441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001571865,"about_ca_system_score_gemma":0.002460865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02016987,"about_ca_topic_score_gemma":0.03679763,"domain_scores_codex":[0.9988415,0.0001556624,0.0001589648,0.0004064746,0.0002469684,0.0001905087],"domain_scores_gemma":[0.9972507,0.0007465754,0.0002664369,0.0007341398,0.0006803061,0.0003218124],"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":[0.00003120969,0.00001038586,0.0003648964,0.0006665227,0.00001689581,0.00001554227,0.00002749543,0.0001074871,0.0001371105,0.0004270847,0.9966808,0.00151466],"study_design_scores_gemma":[0.00006114614,0.000007534028,0.001706491,0.0001938981,0.00001397783,0.00003404249,0.00006809631,0.0000971478,0.0001753435,0.0006920956,0.9969338,0.00001629893],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003649211,0.0000262582,0.00004285673,0.00002918233,0.00001066117,0.000005470703,0.9988886,0.0003356637,0.0006249557],"genre_scores_gemma":[0.0001487896,0.00003410754,0.0001978604,0.00004304091,0.000003440536,0.00004264605,0.9989348,0.0001508585,0.000444314],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8153244,"threshold_uncertainty_score":0.6178012,"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."}}