{"id":"W6887050072","doi":"10.15468/dl.mrerkt","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); Task (project management); 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":[0.001098066,0.002035279,0.00156478,0.005310714,0.0009391284,0.002416995,0.00302643,0.002170853,0.149482],"category_scores_gemma":[0.005957718,0.0009343111,0.001156764,0.01010425,0.0004615377,0.002441172,0.002435994,0.002010395,0.2004841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001752476,"about_ca_system_score_gemma":0.002367564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0219653,"about_ca_topic_score_gemma":0.03310221,"domain_scores_codex":[0.9988958,0.0001502876,0.0001486292,0.0003729268,0.0002491134,0.0001833183],"domain_scores_gemma":[0.9974172,0.0007169482,0.0002548427,0.0006740563,0.0006315989,0.0003053327],"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":[0.00003221844,0.00001258326,0.0003862481,0.000537798,0.00001454882,0.00001589667,0.0000225898,0.0001367005,0.0001227429,0.000400127,0.9969398,0.00137885],"study_design_scores_gemma":[0.00007434545,0.000008597374,0.002020474,0.0001804927,0.00001419019,0.00003976386,0.0000710181,0.0001646586,0.0002112217,0.0007128143,0.9964845,0.00001787331],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003961608,0.00002351779,0.00003751251,0.00003354534,0.00001049802,0.000004716356,0.9990086,0.0002885672,0.0005534724],"genre_scores_gemma":[0.0001464309,0.00002836963,0.000159093,0.0000388213,0.000002987588,0.00003498847,0.9990645,0.0001063675,0.0004184287],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.850518,"threshold_uncertainty_score":0.5000671,"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."}}