{"id":"W6962518642","doi":"10.15468/dl.v5p2bm","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); Alien; Species name","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":[0.001065478,0.001960282,0.001586004,0.004569117,0.001006031,0.002483482,0.002924345,0.002155205,0.1555288],"category_scores_gemma":[0.006069054,0.0009173694,0.001226039,0.009055354,0.0004615062,0.002419311,0.002576762,0.002070879,0.2232262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00164469,"about_ca_system_score_gemma":0.002462551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02254663,"about_ca_topic_score_gemma":0.03881388,"domain_scores_codex":[0.9989148,0.0001588165,0.0001333465,0.0003829801,0.0002361466,0.0001739059],"domain_scores_gemma":[0.9972939,0.0007745181,0.0002362136,0.0007335991,0.0006669897,0.0002948112],"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":[0.00002878295,0.00001252557,0.0003488804,0.0004912796,0.00001312015,0.00001350247,0.00002181225,0.0001236726,0.0001109185,0.0003664107,0.9971301,0.001338925],"study_design_scores_gemma":[0.00007398654,0.000008957482,0.001794282,0.000185046,0.00001307496,0.0000326849,0.00007080389,0.0001520138,0.0001951462,0.0008220036,0.9966343,0.00001779277],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000415941,0.00002449626,0.00004397451,0.00003753327,0.00001158422,0.00000562535,0.9988134,0.000387065,0.0006347671],"genre_scores_gemma":[0.0001509422,0.00002966919,0.0001968821,0.00004457396,0.000003226172,0.00004225558,0.9989329,0.0001436279,0.0004560179],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8444712,"threshold_uncertainty_score":0.5202957,"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."}}