{"id":"W6905873041","doi":"10.15468/dl.ttpspx","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); Order (exchange); Set (abstract data type)","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":[0.0008041254,0.00193993,0.001530916,0.004590354,0.001095535,0.002609878,0.002773712,0.002145456,0.1688991],"category_scores_gemma":[0.005932501,0.0008771561,0.001321153,0.009466817,0.0004049589,0.002619439,0.002625867,0.002022923,0.2545028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001772844,"about_ca_system_score_gemma":0.002555449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02781363,"about_ca_topic_score_gemma":0.04487831,"domain_scores_codex":[0.9989507,0.0001247314,0.0001321955,0.0003712548,0.0002408025,0.0001803381],"domain_scores_gemma":[0.9976619,0.0006110979,0.0002012862,0.0005953996,0.0006711357,0.0002592312],"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":[0.00003126912,0.000009292276,0.00038926,0.0004805571,0.00001352752,0.00001554183,0.00002037505,0.0001109912,0.0001181736,0.0003523362,0.9969468,0.00151209],"study_design_scores_gemma":[0.00005957827,0.0000075536,0.001658795,0.0001741691,0.00001328974,0.00003819068,0.00006900346,0.0001625067,0.0001994892,0.0007196469,0.9968801,0.00001757471],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004089846,0.00003025336,0.00005402583,0.00003871587,0.00001492019,0.000004843054,0.9985389,0.0005402231,0.0007372684],"genre_scores_gemma":[0.0001682879,0.00003663449,0.0002248509,0.00005025012,0.000004010006,0.00003584812,0.9987363,0.0001914073,0.0005522935],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8311009,"threshold_uncertainty_score":0.5650238,"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."}}