{"id":"W6887190450","doi":"10.15468/dl.q5b4b7","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; The Internet","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":[0.0009695293,0.002012222,0.001598826,0.004904005,0.001038122,0.002628138,0.002736528,0.00217848,0.1657622],"category_scores_gemma":[0.006150036,0.0008841235,0.001262022,0.009053882,0.0004421078,0.002449383,0.002631492,0.001981807,0.2308557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001519479,"about_ca_system_score_gemma":0.002278502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02116381,"about_ca_topic_score_gemma":0.0334319,"domain_scores_codex":[0.9989762,0.0001427577,0.0001273235,0.0003647146,0.0002182027,0.0001708032],"domain_scores_gemma":[0.9974119,0.0007771018,0.0002233876,0.0006775766,0.0006239861,0.0002859864],"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":[0.00002899818,0.00001218109,0.0003932402,0.0005408664,0.00001396823,0.00001594945,0.00002329625,0.0001188126,0.000109744,0.0003382305,0.9969845,0.00142016],"study_design_scores_gemma":[0.00007456535,0.000009739713,0.001972418,0.0002129455,0.00001469243,0.00003943986,0.00008282523,0.000172967,0.00018724,0.0007777339,0.996437,0.00001849084],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004534121,0.00002879079,0.00004406712,0.0000418418,0.00001405831,0.000005950485,0.9987667,0.0004349524,0.0006184634],"genre_scores_gemma":[0.0001710541,0.00003598248,0.0002035718,0.00005239346,0.000004223044,0.00004555137,0.9988428,0.0001571346,0.000487228],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8342378,"threshold_uncertainty_score":0.5545298,"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."}}