{"id":"W6961865694","doi":"10.15468/dl.k9ewbr","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":"Download; Matching (statistics); Range (aeronautics); Species name; Data set","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":[0.00104827,0.001852314,0.001607105,0.005657075,0.0008766798,0.00252778,0.002789007,0.00190181,0.1657032],"category_scores_gemma":[0.005852768,0.000908202,0.001104132,0.01181934,0.0004275344,0.002354348,0.002354685,0.001871798,0.211401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001668465,"about_ca_system_score_gemma":0.002350468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02226295,"about_ca_topic_score_gemma":0.03375747,"domain_scores_codex":[0.9989865,0.0001321663,0.0001393764,0.0003335355,0.0002404679,0.0001679795],"domain_scores_gemma":[0.9974658,0.0007093,0.0002540349,0.0006327559,0.00064044,0.0002976755],"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":[0.00003045048,0.0000111707,0.0003789331,0.0005621827,0.00001539401,0.00001490958,0.00002246785,0.0001419711,0.0001169588,0.0004288333,0.9967091,0.001567649],"study_design_scores_gemma":[0.00006141051,0.000007347636,0.00190744,0.0001819431,0.00001386714,0.00003396395,0.0000636291,0.0001368542,0.0001831369,0.0006936854,0.9966999,0.00001672315],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003385756,0.0000240335,0.00003509791,0.00002826529,0.00000941653,0.000004014429,0.9990239,0.0002702475,0.0005710698],"genre_scores_gemma":[0.0001444172,0.00003238455,0.0001569866,0.00003468085,0.000002944829,0.00003205045,0.9990283,0.0001120973,0.0004561141],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8342968,"threshold_uncertainty_score":0.5543325,"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."}}