{"id":"W6961796956","doi":"10.15468/dl.m7gpn9","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); Data set","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":[0.001035978,0.001990768,0.001650903,0.004944738,0.0009829974,0.002604197,0.002826973,0.002130651,0.1525404],"category_scores_gemma":[0.005857497,0.0009100985,0.001129084,0.009591638,0.0004555842,0.002251211,0.002514952,0.00200213,0.2160918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001521806,"about_ca_system_score_gemma":0.002252119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01888778,"about_ca_topic_score_gemma":0.03276201,"domain_scores_codex":[0.998956,0.0001466141,0.0001314451,0.000369861,0.0002245114,0.0001715643],"domain_scores_gemma":[0.9975173,0.0007207223,0.0002491379,0.0006456595,0.0005744411,0.0002926963],"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":[0.00003188464,0.00001225549,0.0004061637,0.0005887248,0.00001619139,0.00001654876,0.00002397247,0.0001292534,0.0001281392,0.0003827509,0.9969014,0.001362706],"study_design_scores_gemma":[0.00008153443,0.000008833138,0.001965263,0.0001996027,0.00001547592,0.00003907329,0.00007090971,0.0001457982,0.0001987313,0.0008029157,0.9964528,0.00001892978],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004031681,0.00002584782,0.00004050185,0.00003165214,0.00001065159,0.000004753115,0.9989685,0.0003210578,0.0005567744],"genre_scores_gemma":[0.0001582048,0.00003098467,0.000185962,0.00004248638,0.000003447108,0.00004077888,0.9989775,0.0001299071,0.0004307094],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8474596,"threshold_uncertainty_score":0.5102986,"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."}}