{"id":"W6962800340","doi":"10.15468/dl.zyjysm","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":"Matching (statistics); Download; Alien; 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":[0.0009738211,0.002070416,0.00166432,0.0050315,0.0009868541,0.002645579,0.002829222,0.002037812,0.173697],"category_scores_gemma":[0.006197987,0.0009635107,0.001291386,0.01010026,0.000436707,0.002324532,0.002574298,0.001940313,0.2348866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001599594,"about_ca_system_score_gemma":0.002421651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02180101,"about_ca_topic_score_gemma":0.03498229,"domain_scores_codex":[0.9989022,0.0001452284,0.0001430343,0.0003932714,0.0002357159,0.000180494],"domain_scores_gemma":[0.9974739,0.0007323378,0.0002360058,0.0006401289,0.000646106,0.0002714574],"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":[0.00003365998,0.00001035143,0.0003623345,0.0005870041,0.00001597161,0.0000140101,0.00002067714,0.0001159371,0.0001164738,0.0003734634,0.9969035,0.001446527],"study_design_scores_gemma":[0.00007638498,0.000009099894,0.001799174,0.0002000851,0.00001605163,0.00003515035,0.00006066303,0.0001263354,0.0001946859,0.0008698591,0.9965932,0.00001920151],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003389045,0.00002560985,0.00003793672,0.00002992128,0.00001056489,0.000004402078,0.9989355,0.0003357898,0.0005862743],"genre_scores_gemma":[0.00014314,0.00003599781,0.0001893005,0.00004744285,0.000003392083,0.00003944449,0.9989109,0.0001556306,0.0004746801],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.826303,"threshold_uncertainty_score":0.5810743,"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."}}