{"id":"W6905833180","doi":"10.15468/dl.sf3t5z","title":"Occurrence Download","year":2019,"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); 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":[0.0008945325,0.00182756,0.001592302,0.005017285,0.001032092,0.002617078,0.00278124,0.001935756,0.1754365],"category_scores_gemma":[0.006133367,0.0008703397,0.001187473,0.01004943,0.0004642292,0.002310402,0.002628564,0.002001359,0.2369188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001570242,"about_ca_system_score_gemma":0.002339214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02320592,"about_ca_topic_score_gemma":0.03873191,"domain_scores_codex":[0.9990327,0.0001295734,0.0001218001,0.0003442465,0.0002113839,0.000160245],"domain_scores_gemma":[0.9976242,0.0006927697,0.0002118405,0.0006048822,0.0006106882,0.0002556588],"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":[0.0000245032,0.000009383192,0.0003728342,0.0005404002,0.00001481187,0.0000142551,0.00002588853,0.0001208369,0.000101063,0.0003826068,0.9968693,0.001524198],"study_design_scores_gemma":[0.00005575696,0.000006883887,0.001705202,0.0002102984,0.00001447603,0.00003522559,0.0000783818,0.0001360853,0.0001521819,0.000773839,0.9968157,0.00001588694],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003933346,0.00003371991,0.00004753874,0.00003870748,0.00001347774,0.000004928379,0.9987748,0.000377187,0.0006702812],"genre_scores_gemma":[0.0001731267,0.00004229494,0.0002147544,0.00004936191,0.000003893872,0.00004267686,0.9987608,0.0001708483,0.0005421952],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8245635,"threshold_uncertainty_score":0.5868934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}