{"id":"W6943369314","doi":"10.15468/dl.sy2qy6","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":[0.001021731,0.001995042,0.001567506,0.005035741,0.001019562,0.002646565,0.002769684,0.002113363,0.1694306],"category_scores_gemma":[0.006671883,0.0009314807,0.001258144,0.009229144,0.0004541286,0.002362062,0.002583218,0.002028654,0.2290459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001587244,"about_ca_system_score_gemma":0.002374329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02206384,"about_ca_topic_score_gemma":0.03434657,"domain_scores_codex":[0.9989673,0.0001458226,0.0001268556,0.0003668455,0.0002220107,0.0001712378],"domain_scores_gemma":[0.9972905,0.0008533762,0.0002255887,0.0006999864,0.0006354143,0.0002950965],"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":[0.00002658759,0.00001148586,0.0003729393,0.0005178969,0.00001351625,0.00001479788,0.00002282337,0.00011795,0.0001078539,0.0003313639,0.9971151,0.00134762],"study_design_scores_gemma":[0.00007739873,0.000009651493,0.002000508,0.0002235603,0.00001570845,0.00003953434,0.00008530472,0.0001733837,0.0001923986,0.0007934092,0.9963704,0.00001866843],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004294565,0.00002734766,0.00004442423,0.00004143389,0.00001343392,0.000006129798,0.9987928,0.0004109538,0.0006205546],"genre_scores_gemma":[0.0001717307,0.00003531882,0.0002028739,0.00005234623,0.000003996934,0.00004957573,0.9988241,0.0001658201,0.0004942217],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8305694,"threshold_uncertainty_score":0.5668018,"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."}}