{"id":"W6943229276","doi":"10.15468/dl.ufsh5d","title":"Occurrence Download","year":2022,"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":[0.0009653245,0.001957779,0.001540273,0.004893145,0.001006044,0.002575765,0.002705565,0.002136603,0.1657576],"category_scores_gemma":[0.006103608,0.000898345,0.001256982,0.008862978,0.000446007,0.002312729,0.002544688,0.001986717,0.2280129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001536146,"about_ca_system_score_gemma":0.002298267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02199356,"about_ca_topic_score_gemma":0.03476021,"domain_scores_codex":[0.9989932,0.0001408387,0.0001235857,0.0003561511,0.0002179672,0.0001681861],"domain_scores_gemma":[0.9974397,0.0007869546,0.0002184142,0.0006627581,0.0006069243,0.0002852701],"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":[0.00002670099,0.00001205715,0.0003871934,0.0005077609,0.0000132838,0.00001508637,0.00002286966,0.0001174031,0.0001080899,0.0003237727,0.9971016,0.00136421],"study_design_scores_gemma":[0.00007599178,0.00001011458,0.002097776,0.0002164276,0.00001529305,0.00004152985,0.00008826819,0.0001899879,0.0001977733,0.0007912638,0.9962562,0.00001930535],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004585957,0.00002771354,0.0000443215,0.00004195492,0.00001386392,0.0000060186,0.9987913,0.0004167682,0.0006122306],"genre_scores_gemma":[0.0001768421,0.00003460752,0.0002044333,0.0000535125,0.000004232648,0.00004761449,0.9988134,0.0001575232,0.0005078972],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8342423,"threshold_uncertainty_score":0.5545145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}