{"id":"W6905852300","doi":"10.15468/dl.x4xp6w","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); Alien; 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":[0.001033449,0.002022842,0.001676421,0.004921061,0.001033793,0.002650223,0.002845919,0.002202442,0.1690551],"category_scores_gemma":[0.006321549,0.0009342725,0.001280027,0.009143639,0.000449834,0.002386431,0.002561619,0.002079111,0.2246879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001586641,"about_ca_system_score_gemma":0.002309014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02060053,"about_ca_topic_score_gemma":0.03180914,"domain_scores_codex":[0.9989567,0.0001452157,0.0001282275,0.0003765836,0.0002189323,0.0001744158],"domain_scores_gemma":[0.9974481,0.000783713,0.0002235973,0.0006512904,0.0006174488,0.0002759468],"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":[0.00002980167,0.00001247942,0.0003800793,0.0005838642,0.00001535427,0.00001538847,0.00002275414,0.0001263449,0.0001201594,0.0003503192,0.9969398,0.001403723],"study_design_scores_gemma":[0.00008037603,0.000009784896,0.00194694,0.0002303283,0.00001668567,0.00003894935,0.00007991994,0.0001761865,0.0002030381,0.0008107761,0.9963877,0.00001922129],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004164181,0.00002911256,0.00004320588,0.00003937603,0.00001322689,0.000005783535,0.9988372,0.0004004955,0.0005900582],"genre_scores_gemma":[0.0001664256,0.00003586837,0.000202147,0.0000521601,0.00000393257,0.00004801366,0.9988735,0.0001597617,0.0004581037],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8309449,"threshold_uncertainty_score":0.5655456,"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."}}