{"id":"W6905899467","doi":"10.15468/dl.uujskq","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; Real world data","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":[0.001020832,0.001949216,0.001632826,0.005117554,0.001013726,0.002724402,0.002907336,0.002057677,0.1810404],"category_scores_gemma":[0.006074202,0.0009543542,0.00114987,0.01035715,0.0004575195,0.002450662,0.002669907,0.002061456,0.2473506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001554808,"about_ca_system_score_gemma":0.002241423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01908115,"about_ca_topic_score_gemma":0.03244024,"domain_scores_codex":[0.9989779,0.0001371334,0.0001286739,0.0003605631,0.0002221624,0.0001736552],"domain_scores_gemma":[0.9974918,0.0007062595,0.0002334714,0.0006611727,0.0006111799,0.0002960709],"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":[0.000025205,0.00001056211,0.0003367198,0.0005221086,0.00001336228,0.00001301619,0.00002231549,0.0001170762,0.0001052849,0.000376326,0.9971321,0.001325849],"study_design_scores_gemma":[0.000065878,0.000006983183,0.001497721,0.0001815316,0.00001234656,0.00002927922,0.00006848694,0.0001312648,0.0001584252,0.0007622581,0.9970696,0.00001614308],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003706543,0.00002452342,0.00004250144,0.00003292075,0.00001191159,0.000004940257,0.9988762,0.0003253968,0.0006445274],"genre_scores_gemma":[0.0001520169,0.00003384937,0.0001962413,0.00004429446,0.000003657612,0.00004333189,0.9988559,0.0001575734,0.0005129958],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8189597,"threshold_uncertainty_score":0.6056404,"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."}}