{"id":"W6905916856","doi":"10.15468/dl.trrcrm","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); Range (aeronautics); Alien; Column (typography)","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":[0.001060053,0.001898366,0.001589734,0.004938517,0.001001133,0.002523215,0.002864027,0.002150853,0.153559],"category_scores_gemma":[0.006070775,0.0009036483,0.001187651,0.009690751,0.0004604167,0.002290429,0.00249894,0.002001469,0.2100561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001640573,"about_ca_system_score_gemma":0.00239892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02342241,"about_ca_topic_score_gemma":0.0381106,"domain_scores_codex":[0.9989281,0.0001498129,0.000139429,0.0003685786,0.0002387405,0.0001752088],"domain_scores_gemma":[0.997341,0.0007900476,0.0002459503,0.0006854345,0.0006478628,0.000289758],"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":[0.00002889115,0.00001247429,0.0003848275,0.0005288722,0.00001398413,0.00001504632,0.00002374419,0.0001257995,0.0001141893,0.0003710064,0.997006,0.001375129],"study_design_scores_gemma":[0.00007755452,0.000009067677,0.002091387,0.0001997249,0.00001427519,0.00003809259,0.00007895611,0.0001522629,0.0001943952,0.0007519856,0.9963737,0.00001851559],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004282622,0.00002472444,0.00004197702,0.00003535481,0.00001116294,0.000005220511,0.9989221,0.0003344389,0.0005821731],"genre_scores_gemma":[0.0001624542,0.00003096212,0.0001877345,0.0000427873,0.000003342796,0.000042394,0.9989523,0.0001296004,0.0004484086],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.846441,"threshold_uncertainty_score":0.5137058,"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."}}