{"id":"W6943233271","doi":"10.15468/dl.zyvn7e","title":"Occurrence Download","year":2023,"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); Alien; 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":[0.001005743,0.00187088,0.001601083,0.004624849,0.001068479,0.002500075,0.002826594,0.002153864,0.1624765],"category_scores_gemma":[0.006086582,0.0008845192,0.001242399,0.009126271,0.0004567559,0.002469583,0.002664481,0.002053345,0.2270339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001593276,"about_ca_system_score_gemma":0.002382951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02132025,"about_ca_topic_score_gemma":0.03619891,"domain_scores_codex":[0.998938,0.0001502277,0.0001298729,0.0003748881,0.0002330072,0.0001739509],"domain_scores_gemma":[0.9973366,0.0007523352,0.0002298988,0.0007230643,0.0006720035,0.0002860662],"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":[0.00002966863,0.00001214518,0.0003470247,0.0005565037,0.00001302099,0.00001436932,0.00002304489,0.0001146193,0.0001174752,0.0003630871,0.9969934,0.00141554],"study_design_scores_gemma":[0.00007023568,0.00000902302,0.001716291,0.0001995068,0.00001277163,0.00003259059,0.00007283704,0.0001345598,0.0001783704,0.0007391051,0.9968177,0.0000170016],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004404179,0.00002908265,0.00004401403,0.00004246632,0.00001361541,0.000006367995,0.998723,0.0004041683,0.0006932633],"genre_scores_gemma":[0.0001650362,0.00003649105,0.0002163693,0.00005138863,0.000003789025,0.00004835749,0.9988166,0.0001527131,0.0005092868],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8375235,"threshold_uncertainty_score":0.5435381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}