{"id":"W6924712389","doi":"10.15468/dl.xp9kpj","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":[0.0009837183,0.001941027,0.001557503,0.004594215,0.001048942,0.002622837,0.002762206,0.00209803,0.1833656],"category_scores_gemma":[0.006232898,0.0009255855,0.001251273,0.008486676,0.0004444933,0.002577461,0.002683782,0.002064316,0.2540295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001560143,"about_ca_system_score_gemma":0.002311918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02121173,"about_ca_topic_score_gemma":0.03580768,"domain_scores_codex":[0.9989731,0.0001448825,0.000117299,0.0003758561,0.0002183546,0.0001705001],"domain_scores_gemma":[0.9973577,0.0007624929,0.0002137574,0.0007279419,0.0006499563,0.0002881511],"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":[0.00002413878,0.00001050989,0.0003291057,0.0004359304,0.00001140079,0.00001244178,0.00002048092,0.0001001911,0.00009286677,0.000322839,0.997362,0.001278181],"study_design_scores_gemma":[0.00006416699,0.000008221172,0.001653481,0.0001794364,0.00001224031,0.00003236973,0.00007197467,0.0001516559,0.0001683246,0.0007885817,0.9968528,0.00001673478],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004299021,0.0000275367,0.0000480283,0.00004406143,0.00001489058,0.000006273358,0.9986036,0.0004754736,0.000737196],"genre_scores_gemma":[0.000169998,0.00003472561,0.0002232886,0.00005675516,0.000004448622,0.00004860966,0.9986848,0.0001972252,0.0005800599],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8166344,"threshold_uncertainty_score":0.613419,"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."}}