{"id":"W6887182520","doi":"10.15468/dl.sq6ftc","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); Alien; The Internet; Range (aeronautics)","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":[0.0009649305,0.001838629,0.001526927,0.005094956,0.001030565,0.002818151,0.002733724,0.002071422,0.1816083],"category_scores_gemma":[0.006022383,0.0009117763,0.001208908,0.009898471,0.0004379982,0.002424942,0.002623347,0.002058813,0.2623526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001666659,"about_ca_system_score_gemma":0.002416542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02061434,"about_ca_topic_score_gemma":0.03382914,"domain_scores_codex":[0.9989684,0.0001428281,0.0001280459,0.0003642853,0.0002247456,0.0001717681],"domain_scores_gemma":[0.9976037,0.0006904372,0.0002132229,0.000614915,0.0006091181,0.0002686224],"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":[0.00002504717,0.0000101062,0.000323417,0.0005094298,0.00001262127,0.00001355988,0.00002157925,0.00009874769,0.0001002667,0.0003785855,0.9970973,0.001409339],"study_design_scores_gemma":[0.00006169001,0.000007449419,0.001537143,0.0001953767,0.00001295815,0.00003334703,0.00006862442,0.0001253198,0.0001634765,0.0007515056,0.9970276,0.00001563567],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003564274,0.00002977205,0.00004111448,0.00004080678,0.00001281101,0.000005435437,0.9987786,0.0003382037,0.0007175623],"genre_scores_gemma":[0.0001465345,0.000040734,0.000193911,0.00005400219,0.000004086608,0.00004542516,0.9987531,0.0001512547,0.0006109328],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8183917,"threshold_uncertainty_score":0.6075404,"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."}}