{"id":"W6887272770","doi":"10.15468/dl.xh445g","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":"Matching (statistics); Download; Alien; Range (aeronautics); State (computer science)","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":[0.0009304042,0.00209637,0.00154126,0.0048938,0.0009860608,0.002489216,0.002648714,0.001990365,0.1617989],"category_scores_gemma":[0.006048984,0.0008966437,0.001225698,0.00990278,0.0004472257,0.002148348,0.002493392,0.00183911,0.2192698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00149497,"about_ca_system_score_gemma":0.002311702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02150559,"about_ca_topic_score_gemma":0.03443068,"domain_scores_codex":[0.9989527,0.0001439425,0.0001317443,0.0003783261,0.0002184247,0.0001747927],"domain_scores_gemma":[0.997561,0.0007146188,0.0002329391,0.0006172764,0.0005986593,0.0002755394],"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":[0.00003241018,0.00001159138,0.0003986405,0.0005287418,0.00001410574,0.00001435157,0.00002151562,0.0001303889,0.0001154563,0.0003489406,0.9969618,0.001422083],"study_design_scores_gemma":[0.00008094654,0.00001089787,0.00191392,0.000191813,0.00001553212,0.00003616989,0.00006901909,0.0001662982,0.0001973228,0.0008041078,0.9964947,0.00001922053],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004400688,0.00002555079,0.00003807039,0.00003340557,0.00001206267,0.000004952847,0.9988815,0.0003605686,0.000599815],"genre_scores_gemma":[0.0001582649,0.00003288933,0.0001844592,0.00004505073,0.000003633581,0.00004157267,0.9989188,0.0001433692,0.0004719318],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8382012,"threshold_uncertainty_score":0.5412711,"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."}}