{"id":"W6943422663","doi":"10.15468/dl.rskteg","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); 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":[0.001010045,0.001875411,0.001664007,0.005161327,0.000923933,0.002502633,0.00268394,0.00198261,0.1644427],"category_scores_gemma":[0.006295663,0.0008849297,0.001191807,0.01067504,0.0004333059,0.002142851,0.002392752,0.001894317,0.2145893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001543499,"about_ca_system_score_gemma":0.002287216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02125604,"about_ca_topic_score_gemma":0.0330045,"domain_scores_codex":[0.9989439,0.0001447151,0.0001452108,0.0003586694,0.0002332333,0.0001743746],"domain_scores_gemma":[0.9973643,0.0007850909,0.0002552907,0.0006539312,0.0006513158,0.0002901218],"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":[0.00003205632,0.00001106662,0.0004166837,0.0006100492,0.00001716956,0.00001548162,0.00002246818,0.0001362285,0.0001187917,0.0003765473,0.9967993,0.001444002],"study_design_scores_gemma":[0.00008322388,0.000008952181,0.002145261,0.0002215814,0.00001667094,0.00003829399,0.00007091,0.0001486004,0.0001832359,0.0007696037,0.9962953,0.00001831966],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003617175,0.00002491457,0.00003448545,0.00002928512,0.000009580046,0.000004399928,0.999103,0.0002689976,0.0004891737],"genre_scores_gemma":[0.0001579955,0.0000338615,0.0001656017,0.00004063302,0.000003387136,0.00003910376,0.9990507,0.0001176789,0.0003911629],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8355572,"threshold_uncertainty_score":0.5501158,"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."}}