{"id":"W6887274073","doi":"10.15468/dl.zuxjvh","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); 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":[0.0009423709,0.002036853,0.001688145,0.005263029,0.001187244,0.002983633,0.003038543,0.002250035,0.1733671],"category_scores_gemma":[0.006311714,0.0009954144,0.001538446,0.01007455,0.0004473575,0.002751559,0.002806672,0.002228352,0.2606321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001610067,"about_ca_system_score_gemma":0.002423681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01823024,"about_ca_topic_score_gemma":0.03010898,"domain_scores_codex":[0.9988256,0.0001601426,0.0001540257,0.0004315827,0.0002355507,0.000193011],"domain_scores_gemma":[0.9975279,0.0006720898,0.0001982616,0.0006927071,0.0006380923,0.0002710372],"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":[0.00003059079,0.00001168523,0.0003581583,0.0005984841,0.00001575403,0.00001577598,0.00002212314,0.0001118318,0.0001137754,0.0003471535,0.9966812,0.001693535],"study_design_scores_gemma":[0.00006546235,0.000008755458,0.001524467,0.0002007885,0.00001526517,0.00004145181,0.00006901198,0.0001720017,0.0001847133,0.0008006832,0.9969004,0.00001685175],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004802804,0.00004134472,0.00005851797,0.00004881402,0.00001699915,0.000007283106,0.9983945,0.0005601251,0.0008242514],"genre_scores_gemma":[0.0001586097,0.0000441312,0.0002242978,0.0000631882,0.000004481853,0.00004719651,0.9987207,0.0001789806,0.0005583337],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.826633,"threshold_uncertainty_score":0.5799706,"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."}}