{"id":"W6925005132","doi":"10.15468/dl.z5fgzn","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Confidentiality; China","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":[0.0008861725,0.001756467,0.001403438,0.004474336,0.0009729958,0.002539437,0.002648262,0.001875801,0.151814],"category_scores_gemma":[0.005995724,0.0008645877,0.00119759,0.009369928,0.0004021591,0.002073497,0.002406566,0.001977146,0.1952471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001528375,"about_ca_system_score_gemma":0.002225234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02131742,"about_ca_topic_score_gemma":0.03377946,"domain_scores_codex":[0.9990338,0.0001365184,0.0001292685,0.0003345394,0.0002073298,0.0001586168],"domain_scores_gemma":[0.9978834,0.0006028592,0.0001888099,0.0005503426,0.000532951,0.0002417261],"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":[0.00002885811,0.00001108172,0.0004169013,0.0004908101,0.00001442521,0.00001459479,0.00002348789,0.0001277316,0.00008513639,0.0003809996,0.9967645,0.00164134],"study_design_scores_gemma":[0.00007356848,0.000007144459,0.00191209,0.000193458,0.00001241962,0.00003567813,0.00007764069,0.0001792996,0.0001547537,0.0007895547,0.996549,0.00001533681],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004510322,0.00002828966,0.00004562261,0.0000429975,0.00001228097,0.000005840986,0.9987702,0.0003851305,0.0006646473],"genre_scores_gemma":[0.0001822345,0.00003899471,0.0002135396,0.00005184606,0.000003683625,0.00004616916,0.9988027,0.0001427393,0.0005181549],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.848186,"threshold_uncertainty_score":0.5078684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03516710300876375,"score_gpt":0.2812734623468169,"score_spread":0.2461063593380531,"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."}}