{"id":"W6943492485","doi":"10.15468/dl.w77skw","title":"Occurrence Download","year":2024,"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); Listing (finance); Range (aeronautics); Order (exchange)","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":[0.001011814,0.001996394,0.001497852,0.005159768,0.0009671065,0.002473895,0.002781596,0.001759011,0.1714779],"category_scores_gemma":[0.005902272,0.0009081158,0.001225398,0.009217001,0.0004443065,0.002143351,0.002798468,0.001779959,0.2382875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001612637,"about_ca_system_score_gemma":0.002480158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02559932,"about_ca_topic_score_gemma":0.04307776,"domain_scores_codex":[0.9990207,0.0001235212,0.0001266131,0.0003182159,0.0002294453,0.0001814463],"domain_scores_gemma":[0.997535,0.0005923032,0.0002278338,0.000662145,0.0006887678,0.0002939707],"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":[0.00002866089,0.000009140744,0.000346718,0.0004974187,0.0000139058,0.00001320215,0.00002067235,0.00009743313,0.0001115475,0.0003270557,0.9971195,0.001414671],"study_design_scores_gemma":[0.00006220861,0.000007075159,0.001862697,0.0002002024,0.00001349605,0.00003166922,0.00006042197,0.0001119581,0.0001908531,0.0007167603,0.9967262,0.00001643134],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003008289,0.00001902657,0.0000337122,0.00002637366,0.000009418663,0.00000479447,0.9989319,0.0003398581,0.000604875],"genre_scores_gemma":[0.0001340434,0.0000286968,0.0001744091,0.00004168505,0.000003128941,0.00003668435,0.998988,0.0001474852,0.0004458828],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8285221,"threshold_uncertainty_score":0.5736507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}