{"id":"W6905770030","doi":"10.15468/dl.vb8x9y","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; Range (aeronautics); Homonym (biology)","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":[0.0008963079,0.001956394,0.001546928,0.005117297,0.0009146485,0.002504062,0.002549748,0.00186048,0.163426],"category_scores_gemma":[0.005588634,0.0009050136,0.001146498,0.009884133,0.0004110881,0.002247292,0.002493394,0.001801325,0.223819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001477678,"about_ca_system_score_gemma":0.002226714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02011878,"about_ca_topic_score_gemma":0.0343419,"domain_scores_codex":[0.9989579,0.0001396311,0.0001336909,0.0003737253,0.0002202985,0.0001747624],"domain_scores_gemma":[0.9975703,0.0006554881,0.0002498686,0.0006221129,0.0006191715,0.000283008],"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":[0.00003228473,0.00001077562,0.0003868224,0.0005493299,0.00001480116,0.00001325793,0.00002013412,0.0001176907,0.0001169378,0.0003618025,0.9969364,0.001439751],"study_design_scores_gemma":[0.00007053296,0.000009165391,0.001905467,0.0001855971,0.00001459438,0.0000336098,0.00005839681,0.0001293976,0.000175445,0.0007484135,0.9966514,0.00001801616],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003813721,0.00002555179,0.00003462017,0.00002927876,0.00001052252,0.000004410318,0.9989707,0.0002940016,0.0005927533],"genre_scores_gemma":[0.0001492883,0.00003444214,0.0001752081,0.00004603153,0.000003561387,0.00003775183,0.998906,0.0001291894,0.0005185191],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.836574,"threshold_uncertainty_score":0.5467145,"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."}}