{"id":"W6943737157","doi":"10.15468/dl.zswz2f","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; Order (exchange)","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":[0.001011001,0.001987911,0.001678715,0.005251966,0.0009843601,0.002601597,0.002860481,0.002127305,0.1615191],"category_scores_gemma":[0.006170051,0.0009266603,0.001152687,0.0101298,0.0004462235,0.002379607,0.00252401,0.001976745,0.2167462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001498395,"about_ca_system_score_gemma":0.002301663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01964998,"about_ca_topic_score_gemma":0.03326904,"domain_scores_codex":[0.998965,0.0001432959,0.000137432,0.0003645911,0.0002209834,0.0001686069],"domain_scores_gemma":[0.9974963,0.0007385161,0.0002410836,0.0006470043,0.000585462,0.0002916397],"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":[0.00003216887,0.00001234264,0.0004048487,0.0006243368,0.0000164142,0.00001752578,0.00002565426,0.0001294733,0.0001280631,0.0003799236,0.9968178,0.001411342],"study_design_scores_gemma":[0.00007946124,0.000008513203,0.001955163,0.0002066234,0.00001555153,0.00004112135,0.00007478838,0.0001475349,0.0001860225,0.0007780751,0.9964879,0.00001921083],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004202441,0.00002737443,0.00004407965,0.00003249703,0.00001089146,0.000005225174,0.9988812,0.0003632365,0.0005935215],"genre_scores_gemma":[0.0001664683,0.00003327813,0.0001939528,0.00004336248,0.000003397958,0.00004279154,0.9989333,0.0001446456,0.0004387104],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8384808,"threshold_uncertainty_score":0.5403354,"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."}}