{"id":"W6906160261","doi":"10.15468/dl.zxdaez","title":"Occurrence Download","year":2023,"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); Alien; Range (aeronautics)","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":[0.0009780211,0.00193515,0.001562012,0.004809953,0.000975911,0.002459735,0.00274474,0.002078814,0.1532688],"category_scores_gemma":[0.005882962,0.0008884899,0.001270907,0.009197069,0.0004424124,0.002162729,0.00246554,0.001964766,0.2209318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001536763,"about_ca_system_score_gemma":0.002355886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0218875,"about_ca_topic_score_gemma":0.03507176,"domain_scores_codex":[0.998985,0.0001392769,0.0001228906,0.0003608268,0.0002233287,0.0001687451],"domain_scores_gemma":[0.9974765,0.0007430635,0.0002262951,0.0006601958,0.0006093939,0.0002845296],"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":[0.00002993512,0.0000122315,0.0003924702,0.0005344474,0.00001445557,0.00001494624,0.00002326266,0.0001241287,0.0001192913,0.0003378059,0.996973,0.001424023],"study_design_scores_gemma":[0.00007826313,0.00001030075,0.002118292,0.0002158016,0.00001623617,0.0000396969,0.00008007653,0.0001680628,0.0002067764,0.0007397867,0.9963084,0.00001826116],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004837869,0.00002941219,0.0000427581,0.00003757957,0.00001253333,0.000005719202,0.9987961,0.0004069027,0.0006205916],"genre_scores_gemma":[0.0001647587,0.00003323473,0.0001846884,0.00004545796,0.000003564226,0.00004130442,0.9989273,0.0001367065,0.00046296],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8467312,"threshold_uncertainty_score":0.5127352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}