{"id":"W6924242296","doi":"10.15468/dl.bg3bwa","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); Invasive species","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":[0.0008684182,0.002105006,0.001591109,0.004669591,0.001003478,0.00265293,0.002990925,0.002191169,0.1389521],"category_scores_gemma":[0.005474786,0.0009065826,0.001274576,0.009334118,0.000428413,0.002487044,0.002588768,0.002020692,0.213796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001723234,"about_ca_system_score_gemma":0.002215548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02119047,"about_ca_topic_score_gemma":0.03485216,"domain_scores_codex":[0.9990068,0.0001292467,0.0001234589,0.0003651976,0.0002130777,0.0001621808],"domain_scores_gemma":[0.9979957,0.0005364012,0.0001815641,0.0005448977,0.0004999909,0.0002413843],"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":[0.00003122837,0.00001242879,0.0004138499,0.0006227147,0.00001639791,0.00001597394,0.00002303999,0.0001416263,0.0001098392,0.0003686719,0.9966155,0.001628898],"study_design_scores_gemma":[0.00007493923,0.000009612468,0.001888684,0.0001998216,0.00001584632,0.00004246271,0.00007254865,0.0002136645,0.0001875981,0.0007909316,0.9964859,0.00001803665],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004603308,0.00003716789,0.00004699071,0.00003982175,0.00001283999,0.00000533384,0.9987177,0.0004751526,0.0006190244],"genre_scores_gemma":[0.0001629182,0.00003878332,0.0002052777,0.00004675196,0.000003437312,0.00003728124,0.9989432,0.0001301804,0.0004321349],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8610479,"threshold_uncertainty_score":0.4648411,"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."}}