{"id":"W6924585843","doi":"10.15468/dl.kx06cj","title":"Occurrence Download","year":2020,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Download; Range (aeronautics); Geographic 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":[0.001044812,0.002072541,0.001615997,0.004865764,0.0009510095,0.002477762,0.00300052,0.002066689,0.1498239],"category_scores_gemma":[0.006001274,0.0009584347,0.00119702,0.009746504,0.0004630156,0.002304478,0.002463524,0.001988561,0.1985266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001691793,"about_ca_system_score_gemma":0.002430353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02408857,"about_ca_topic_score_gemma":0.03543401,"domain_scores_codex":[0.9989642,0.0001362929,0.0001367661,0.0003544968,0.0002369275,0.0001713453],"domain_scores_gemma":[0.9975628,0.000687076,0.000221879,0.0006534936,0.0005860284,0.0002887597],"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":[0.00003134797,0.00001141438,0.0003415872,0.0004825768,0.0000149491,0.00001524301,0.0000220161,0.0001473764,0.000117916,0.000381336,0.9970549,0.001379327],"study_design_scores_gemma":[0.00007881393,0.000009042677,0.002033763,0.0001785559,0.00001612839,0.00004276147,0.00007167397,0.0002037466,0.0002408516,0.0008165243,0.9962883,0.00001995558],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003965897,0.00002278064,0.00004516947,0.00003291584,0.00001093064,0.000004857092,0.9989083,0.000394222,0.0005411963],"genre_scores_gemma":[0.0001495029,0.00002727896,0.0001777733,0.00003786492,0.000002783964,0.0000360165,0.9990361,0.0001322246,0.0004004382],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8501761,"threshold_uncertainty_score":0.5012109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101450523743655,"score_gpt":0.226568981422551,"score_spread":0.2055544761851144,"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."}}