{"id":"W6943368642","doi":"10.15468/dl.t6c5ct","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; The Internet","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":[0.0009769337,0.001914644,0.001655829,0.004969401,0.001049256,0.002559958,0.002761038,0.002180303,0.1446207],"category_scores_gemma":[0.005975975,0.0008979068,0.001311015,0.009910029,0.0004608193,0.002322166,0.002477103,0.001967674,0.2103674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001616641,"about_ca_system_score_gemma":0.002345765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02329798,"about_ca_topic_score_gemma":0.0362285,"domain_scores_codex":[0.9989465,0.0001464051,0.0001340303,0.0003711185,0.0002303683,0.0001714808],"domain_scores_gemma":[0.997512,0.0007354248,0.0002235302,0.0006503137,0.0006091385,0.0002695448],"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":[0.00003127353,0.00001215482,0.0004023557,0.0006182735,0.00001577747,0.00001694494,0.00002446743,0.000124504,0.0001351139,0.0003541201,0.9967745,0.001490544],"study_design_scores_gemma":[0.00007496473,0.000009789228,0.002262981,0.0002222396,0.00001684094,0.00004316517,0.00008307824,0.0001643245,0.0002045496,0.0007228609,0.9961759,0.00001919142],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004882787,0.0000333561,0.00004277282,0.0000388379,0.00001321877,0.000005670378,0.9988065,0.0003885296,0.0006223794],"genre_scores_gemma":[0.0001740664,0.00003895098,0.0001931118,0.0000478189,0.000003747899,0.00004407221,0.9989241,0.0001347225,0.0004393738],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8553793,"threshold_uncertainty_score":0.4838045,"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."}}