{"id":"W6924678558","doi":"10.15468/dl.vbegm5","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","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":[0.000988978,0.001970126,0.001549433,0.004790825,0.001033901,0.002681222,0.002852538,0.002113335,0.1584402],"category_scores_gemma":[0.00642676,0.0008968483,0.001279045,0.008764983,0.0004388702,0.002521345,0.0025447,0.002034505,0.2230013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001534854,"about_ca_system_score_gemma":0.002203196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01952474,"about_ca_topic_score_gemma":0.03211309,"domain_scores_codex":[0.9989725,0.0001509323,0.000124581,0.0003709115,0.0002182878,0.0001627837],"domain_scores_gemma":[0.9974657,0.0007759729,0.0002076778,0.0006759886,0.0006081789,0.0002663101],"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":[0.00002833619,0.00001222613,0.0003900605,0.0005299092,0.0000143085,0.00001541027,0.00002358655,0.0001283442,0.0001082813,0.0003576807,0.9968852,0.001506657],"study_design_scores_gemma":[0.00006899043,0.000009362306,0.001881123,0.00020986,0.00001476294,0.00003890855,0.00008424733,0.0001901406,0.0001925642,0.0008607129,0.9964305,0.00001885525],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004919865,0.00003138425,0.00005494744,0.00004579237,0.00001471214,0.000006522871,0.9986373,0.0004832611,0.0006768755],"genre_scores_gemma":[0.0001805203,0.00003601273,0.0002311296,0.00005128296,0.000004088098,0.00005090159,0.9987724,0.0001692975,0.0005042559],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8415598,"threshold_uncertainty_score":0.5300354,"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."}}