{"id":"W6924786600","doi":"10.15468/dl.mam8sa","title":"Occurrence Download","year":2020,"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); Data set; Confidentiality","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":[0.001047607,0.001951079,0.001590269,0.005070452,0.0009462797,0.002514395,0.00299578,0.002014034,0.1644762],"category_scores_gemma":[0.006033989,0.0009719539,0.001170004,0.01010429,0.0004678669,0.002309854,0.002454337,0.002027683,0.211248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001688914,"about_ca_system_score_gemma":0.002422906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02467341,"about_ca_topic_score_gemma":0.03595165,"domain_scores_codex":[0.9989875,0.0001346273,0.0001248064,0.0003490544,0.0002363213,0.0001677098],"domain_scores_gemma":[0.9975453,0.0006832806,0.0002265906,0.0006617435,0.000594195,0.0002888924],"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":[0.00002739573,0.00001036904,0.000339202,0.0004612584,0.00001397067,0.00001232299,0.00002158824,0.0001299857,0.0001051808,0.0003716385,0.9971476,0.001359311],"study_design_scores_gemma":[0.00006979841,0.000007204418,0.001868583,0.0001680363,0.00001387092,0.00003300533,0.00006947864,0.0001577419,0.0001979763,0.0007232139,0.9966738,0.00001727769],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003777726,0.00002216908,0.00004046956,0.00003325026,0.00001033224,0.000004548195,0.9989231,0.0003448539,0.0005834047],"genre_scores_gemma":[0.0001548117,0.00002828304,0.0001742136,0.00003805507,0.000002781205,0.0000374454,0.9989356,0.0001477668,0.0004810435],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8355238,"threshold_uncertainty_score":0.5502275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101450523743655,"score_gpt":0.226568981422551,"score_spread":0.2055544761851144,"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."}}