{"id":"W6906142631","doi":"10.15468/dl.srsn3u","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); Key (lock)","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":[0.0009501925,0.002072475,0.001683869,0.005107537,0.0009496473,0.002671968,0.002739373,0.001997951,0.1589397],"category_scores_gemma":[0.005953284,0.0009646271,0.001211728,0.01009025,0.0004190445,0.002381452,0.002554866,0.001887212,0.2233752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001511457,"about_ca_system_score_gemma":0.002268832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01856776,"about_ca_topic_score_gemma":0.03213229,"domain_scores_codex":[0.9988756,0.0001558158,0.0001491363,0.0004066809,0.0002320734,0.0001807149],"domain_scores_gemma":[0.9974799,0.0006920673,0.000249226,0.0006549681,0.0006438343,0.000280045],"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":[0.00003671159,0.00001163868,0.0003930453,0.0006403341,0.00001735433,0.00001462519,0.00002059216,0.0001259111,0.0001274654,0.0003900472,0.9967319,0.001490447],"study_design_scores_gemma":[0.00007610529,0.00000957023,0.00178342,0.0001970682,0.00001618132,0.00003606064,0.00005629791,0.0001355545,0.000181483,0.000812936,0.9966763,0.00001903541],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003777075,0.00002935984,0.00003851076,0.00003051246,0.00001087495,0.000004546788,0.9989294,0.0003210456,0.0005979685],"genre_scores_gemma":[0.000148995,0.00003747185,0.0001814605,0.00004717236,0.000003543414,0.00003772105,0.998942,0.0001287219,0.000472844],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8410603,"threshold_uncertainty_score":0.5317064,"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."}}