{"id":"W6943591766","doi":"10.15468/dl.uu1ksc","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); Training set; Software","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":[0.0009890383,0.00191558,0.001585143,0.005305636,0.0009286003,0.002650723,0.002814729,0.001987327,0.1793826],"category_scores_gemma":[0.006090174,0.0009444021,0.001124132,0.01032033,0.0004358443,0.002478784,0.00253872,0.001912994,0.2296929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001543041,"about_ca_system_score_gemma":0.002175586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01957569,"about_ca_topic_score_gemma":0.02960121,"domain_scores_codex":[0.9989985,0.000131474,0.0001302179,0.0003502626,0.000218292,0.0001713649],"domain_scores_gemma":[0.9976295,0.0006882067,0.0002315864,0.0005937804,0.0005714885,0.0002855315],"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":[0.00002861691,0.000009726974,0.0003470112,0.000565379,0.00001421569,0.00001395704,0.00002212719,0.0001203112,0.0001029414,0.0003880571,0.9968928,0.001494772],"study_design_scores_gemma":[0.00006687058,0.000007084714,0.001671741,0.0001897637,0.00001331936,0.00003342125,0.00006404918,0.0001363244,0.0001563432,0.0007154905,0.9969298,0.0000157594],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003363218,0.00002580698,0.00003976323,0.00003213789,0.00001097013,0.000004436097,0.9989207,0.0003239563,0.000608622],"genre_scores_gemma":[0.000157057,0.00003672151,0.0001823131,0.0000453435,0.000003665522,0.00003826544,0.9989076,0.0001536026,0.0004755734],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8206174,"threshold_uncertainty_score":0.6000944,"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."}}