{"id":"W6943386401","doi":"10.15468/dl.yffhjv","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); 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":[0.0009493133,0.002004074,0.001602998,0.004968912,0.001088287,0.002925057,0.002963136,0.001927262,0.2230427],"category_scores_gemma":[0.00624256,0.001083384,0.001162215,0.009968759,0.0004681259,0.002522643,0.002938162,0.002061337,0.288595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001950659,"about_ca_system_score_gemma":0.002706818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02908536,"about_ca_topic_score_gemma":0.04663678,"domain_scores_codex":[0.999118,0.0000972901,0.0001057473,0.0002912654,0.0002216716,0.0001660514],"domain_scores_gemma":[0.9978077,0.0005836799,0.0001919509,0.0005616032,0.0006013192,0.0002538333],"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":[0.00002305401,0.000008263849,0.0002647974,0.000485295,0.00001148573,0.00001255883,0.00002342685,0.0000826141,0.0000971364,0.0003946496,0.99722,0.001376646],"study_design_scores_gemma":[0.0000566954,0.000005047084,0.001283597,0.0001810716,0.00001107349,0.00003006046,0.00006064017,0.00009895911,0.000167566,0.0006732113,0.9974173,0.00001483143],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002511579,0.00001998538,0.00004357729,0.00003004662,0.00001012035,0.000005022664,0.9985947,0.0004435069,0.0008279267],"genre_scores_gemma":[0.0001497697,0.0000380228,0.0002422824,0.00004783184,0.000003427984,0.00004956768,0.9985751,0.0002736436,0.0006203921],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7769573,"threshold_uncertainty_score":0.7461522,"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."}}