{"id":"W6961677630","doi":"10.15468/dl.2pzr6k","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Globalization and Cultural Identity","field":"Social Sciences","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":[0.0009305026,0.002057987,0.001453638,0.004384672,0.001008464,0.002404589,0.002774023,0.001982084,0.1195312],"category_scores_gemma":[0.005912375,0.0008156201,0.001220172,0.008719421,0.0004641495,0.002052644,0.002414925,0.001983505,0.1694686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001718326,"about_ca_system_score_gemma":0.002483581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0270833,"about_ca_topic_score_gemma":0.04735738,"domain_scores_codex":[0.9989879,0.0001418336,0.0001303666,0.0003454871,0.0002372746,0.0001571973],"domain_scores_gemma":[0.9977519,0.0006302925,0.0002164291,0.0005704947,0.0005669914,0.000263911],"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":[0.00002909288,0.00001290374,0.0003885468,0.0004696033,0.00001412008,0.00001471515,0.00002507982,0.0001291103,0.00009800949,0.0004238476,0.9969432,0.001451893],"study_design_scores_gemma":[0.00007900183,0.000009413664,0.00195098,0.0001774059,0.00001365865,0.00003849713,0.00007439528,0.0002014468,0.000180067,0.0008658328,0.9963918,0.00001749551],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005765268,0.00003389805,0.00005158012,0.00004572274,0.00001367673,0.000006489961,0.998609,0.0004697711,0.0007122284],"genre_scores_gemma":[0.0001677561,0.00003684161,0.0002304659,0.00004994348,0.000003472879,0.00004434446,0.9988379,0.0001345425,0.0004946815],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8804688,"threshold_uncertainty_score":0.3998717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01598466019193062,"score_gpt":0.262470961179965,"score_spread":0.2464863009880344,"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."}}