{"id":"W6905958106","doi":"10.15468/dl.pqjftn","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; Set (abstract data type)","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":[0.001124844,0.002006108,0.001609936,0.005356201,0.001059174,0.002723322,0.002947822,0.00209189,0.1634448],"category_scores_gemma":[0.006527272,0.000981797,0.001165269,0.01038399,0.000474061,0.002373449,0.002663729,0.002092195,0.2237131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001687592,"about_ca_system_score_gemma":0.002494182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02313072,"about_ca_topic_score_gemma":0.03753146,"domain_scores_codex":[0.9988502,0.0001565924,0.0001530916,0.0003949142,0.0002596985,0.0001854389],"domain_scores_gemma":[0.997169,0.0008207185,0.000262914,0.0007400812,0.0006990722,0.0003082309],"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":[0.00002678087,0.0000107293,0.0003649866,0.000528423,0.00001459588,0.00001529474,0.000025126,0.0001132868,0.0001147841,0.0003966618,0.9971107,0.001278534],"study_design_scores_gemma":[0.00006775761,0.000006937896,0.001774772,0.0001890249,0.00001412475,0.00003771211,0.00007591541,0.0001337077,0.0001835418,0.0007404362,0.9967585,0.00001759447],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003570731,0.00002302721,0.00004513323,0.00003232289,0.00001063583,0.000004872154,0.9988993,0.0003429619,0.000605921],"genre_scores_gemma":[0.000147931,0.00003058015,0.0001933256,0.00004033205,0.000003144836,0.00004069908,0.9989624,0.0001501907,0.000431549],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8365552,"threshold_uncertainty_score":0.5467772,"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."}}