{"id":"W6943506289","doi":"10.15468/dl.q9xydw","title":"Occurrence Download","year":2023,"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); Identification (biology); Metadata","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":[0.0008974262,0.001917407,0.001580008,0.005036673,0.001175085,0.002763215,0.002910242,0.002198531,0.174194],"category_scores_gemma":[0.006040724,0.0009334694,0.001393964,0.009697988,0.000445253,0.002852347,0.002762065,0.002163569,0.2581203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001626359,"about_ca_system_score_gemma":0.002461254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01994329,"about_ca_topic_score_gemma":0.03570513,"domain_scores_codex":[0.9988966,0.0001528402,0.0001386947,0.0004081032,0.0002219461,0.0001817794],"domain_scores_gemma":[0.9974956,0.0006660927,0.000204229,0.0007027704,0.00066523,0.000266214],"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":[0.00002773934,0.00001096415,0.0003879312,0.0005694574,0.00001321543,0.00001553333,0.00002365865,0.0001076912,0.0001079362,0.0003631835,0.996732,0.001640684],"study_design_scores_gemma":[0.0000547758,0.000007389925,0.00146824,0.0001862708,0.00001199044,0.00003592641,0.00007035446,0.0001471716,0.0001598231,0.0007350551,0.9971076,0.00001550051],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004936701,0.00003835712,0.0000571995,0.00004897956,0.00001663467,0.000006889151,0.9983432,0.000539168,0.0009001259],"genre_scores_gemma":[0.0001689866,0.00004292705,0.0002392496,0.00006073982,0.000004546243,0.00004622583,0.9986457,0.0001818652,0.000609661],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.825806,"threshold_uncertainty_score":0.582737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}