{"id":"W6962006898","doi":"10.15468/dl.uxx3wp","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":[0.00100736,0.001921218,0.001562968,0.005270523,0.001022564,0.0027669,0.002770005,0.002047679,0.1799194],"category_scores_gemma":[0.006330824,0.0009202198,0.001251924,0.009815303,0.000459818,0.002399507,0.002686089,0.002019235,0.2505238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001615599,"about_ca_system_score_gemma":0.00240556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02279098,"about_ca_topic_score_gemma":0.03647817,"domain_scores_codex":[0.9989737,0.0001405378,0.0001241017,0.0003579048,0.0002277415,0.0001760525],"domain_scores_gemma":[0.9974182,0.0007652637,0.0002212105,0.000672247,0.0006285908,0.00029453],"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":[0.00002537709,0.00001058912,0.0003494374,0.0005108066,0.00001286968,0.00001503051,0.00002374282,0.0001021169,0.000107025,0.0003559245,0.9971253,0.001361674],"study_design_scores_gemma":[0.00006465081,0.00000816914,0.001835151,0.0002122264,0.00001420801,0.00003874972,0.000080593,0.0001369664,0.0001798768,0.0007689281,0.9966432,0.00001739266],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004085616,0.00002881196,0.0000447766,0.00004087654,0.00001307097,0.000005825921,0.9987369,0.0003977424,0.0006911924],"genre_scores_gemma":[0.0001601406,0.00003725594,0.0001947293,0.0000519275,0.000003929062,0.00004621364,0.9987949,0.000168178,0.0005427161],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8200806,"threshold_uncertainty_score":0.6018904,"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."}}