{"id":"W6962253013","doi":"10.15468/dl.pbtu2g","title":"Occurrence Download","year":2022,"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); Set (abstract data type); 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":[0.001048004,0.001957238,0.001680021,0.005151542,0.0009541305,0.00258085,0.002752382,0.00208463,0.162493],"category_scores_gemma":[0.006497085,0.0009048635,0.001180341,0.01032257,0.0004384546,0.002249685,0.002465501,0.00195072,0.217906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001541022,"about_ca_system_score_gemma":0.002297258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01976358,"about_ca_topic_score_gemma":0.03189188,"domain_scores_codex":[0.9988804,0.0001550339,0.0001531375,0.000382531,0.00024832,0.0001806291],"domain_scores_gemma":[0.9972875,0.0007907352,0.0002588716,0.0006895709,0.0006680029,0.0003053088],"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":[0.00003256298,0.00001185966,0.0004133248,0.0006065564,0.00001661785,0.00001589973,0.00002258571,0.0001393476,0.0001225066,0.0003735719,0.9968305,0.001414673],"study_design_scores_gemma":[0.00008407706,0.000009459534,0.002068403,0.000215722,0.0000160736,0.0000392352,0.00007074072,0.0001571394,0.0001870811,0.0007679738,0.9963654,0.00001866264],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003736547,0.00002542198,0.0000364275,0.00003103466,0.00001026199,0.000004836574,0.9990712,0.0002843083,0.0004990851],"genre_scores_gemma":[0.0001522253,0.00003231894,0.0001673307,0.00004143277,0.000003497059,0.00004067275,0.9990477,0.0001166721,0.0003981343],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.837507,"threshold_uncertainty_score":0.5435931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}