{"id":"W6906052458","doi":"10.15468/dl.yxry7c","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; Information system","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":[0.001011056,0.001918035,0.001536425,0.004730764,0.001013483,0.002540965,0.002800062,0.002163208,0.1658195],"category_scores_gemma":[0.006053676,0.0009069351,0.001259072,0.009065278,0.0004687115,0.002373172,0.002574197,0.002087968,0.2282803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001582488,"about_ca_system_score_gemma":0.002303435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02160745,"about_ca_topic_score_gemma":0.03567866,"domain_scores_codex":[0.9989631,0.0001457477,0.0001258422,0.0003626149,0.0002294458,0.0001732039],"domain_scores_gemma":[0.9974088,0.0007519195,0.0002256161,0.0007077298,0.0006159706,0.0002898795],"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":[0.00002716544,0.00001192924,0.0003480291,0.0004933338,0.00001344546,0.00001384674,0.00002276256,0.0001232863,0.0001169119,0.0003625203,0.9970842,0.001382516],"study_design_scores_gemma":[0.00006954665,0.000009016856,0.001865859,0.0001933165,0.00001384151,0.00003581492,0.00007599426,0.0001517314,0.0001938026,0.0007879105,0.9965852,0.00001786711],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004310516,0.00002552532,0.00004485948,0.00003879347,0.00001275421,0.000005539699,0.9987978,0.0003868609,0.0006447338],"genre_scores_gemma":[0.0001605248,0.00003249298,0.0002054887,0.00004737025,0.000003455871,0.00004384505,0.9988673,0.0001505178,0.0004890735],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8341805,"threshold_uncertainty_score":0.5547216,"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."}}