{"id":"W6943407189","doi":"10.15468/dl.nwvzmn","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":[0.001164758,0.00197326,0.001680292,0.005387122,0.001076359,0.002871623,0.003064866,0.002073745,0.1767187],"category_scores_gemma":[0.006646236,0.001004647,0.0011693,0.01059988,0.0004687332,0.002481828,0.002743675,0.002088237,0.2378787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001606726,"about_ca_system_score_gemma":0.002415102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01994553,"about_ca_topic_score_gemma":0.03339629,"domain_scores_codex":[0.99884,0.0001608326,0.0001541499,0.0004050677,0.0002547297,0.0001851675],"domain_scores_gemma":[0.9972734,0.0007979837,0.0002549299,0.0007172073,0.0006468647,0.0003096616],"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":[0.00002681636,0.00001019141,0.0003377577,0.0005322053,0.00001482034,0.00001472878,0.00002428432,0.0001055758,0.0001097842,0.0003902854,0.9971188,0.001314758],"study_design_scores_gemma":[0.00006486174,0.000006872224,0.001608724,0.0001912303,0.00001426373,0.00003702685,0.00007135193,0.0001232818,0.0001731467,0.0007537692,0.9969385,0.00001711161],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003556665,0.00002532827,0.00004908988,0.00003367957,0.00001164473,0.000005065596,0.9988318,0.0003595682,0.0006482195],"genre_scores_gemma":[0.000143795,0.00003226242,0.0001977929,0.00004230087,0.000003288956,0.00004110241,0.9989226,0.000163601,0.0004531732],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8232813,"threshold_uncertainty_score":0.5911831,"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."}}