{"id":"W6962179132","doi":"10.15468/dl.xw32jt","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":[0.001021112,0.001858879,0.001557895,0.004884437,0.001028944,0.002678033,0.002834987,0.002076211,0.1711048],"category_scores_gemma":[0.006190865,0.0009011973,0.001219937,0.009374816,0.0004328367,0.002459598,0.002599345,0.002037962,0.2319468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00158717,"about_ca_system_score_gemma":0.002312833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02001641,"about_ca_topic_score_gemma":0.03313516,"domain_scores_codex":[0.9989811,0.0001467235,0.0001293407,0.0003590392,0.000220386,0.0001634235],"domain_scores_gemma":[0.9975438,0.0007372606,0.0002162492,0.000629013,0.0006139543,0.0002598046],"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":[0.00002618659,0.0000113624,0.0003597063,0.0005589198,0.00001391464,0.00001495278,0.00002318751,0.0001142208,0.0001100465,0.0003799957,0.9969181,0.001469445],"study_design_scores_gemma":[0.00006620398,0.000008194939,0.001742235,0.0002070915,0.00001392612,0.00003623078,0.00007603496,0.0001443752,0.0001791472,0.000793434,0.9967158,0.00001739016],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004022875,0.00002926073,0.00004816597,0.00004199889,0.00001321603,0.00000613085,0.9987431,0.0003809218,0.0006969887],"genre_scores_gemma":[0.0001572075,0.00003781739,0.0002161803,0.00005166955,0.000003859033,0.00005097785,0.9987914,0.0001529329,0.000538019],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8288952,"threshold_uncertainty_score":0.5724027,"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."}}