{"id":"W6887304869","doi":"10.15468/dl.w22gq2","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); Set (abstract data type); 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":[0.0009512564,0.001964982,0.001560801,0.004543724,0.0009585739,0.002371078,0.002795823,0.002001189,0.1450285],"category_scores_gemma":[0.005250831,0.0009186333,0.001169761,0.008926874,0.0004516666,0.002159577,0.002564562,0.002002284,0.2043935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001535553,"about_ca_system_score_gemma":0.002181746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01997371,"about_ca_topic_score_gemma":0.03324623,"domain_scores_codex":[0.999079,0.0001244634,0.000116929,0.0003188773,0.0002026681,0.0001580437],"domain_scores_gemma":[0.9979475,0.0005639992,0.0001950741,0.0005635991,0.0004830319,0.0002468092],"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":[0.00003036095,0.00001193388,0.0004039933,0.0005500595,0.00001574787,0.00001613135,0.00002754375,0.0001476606,0.0001459754,0.0004117691,0.9966744,0.001564358],"study_design_scores_gemma":[0.00007300179,0.000007936819,0.001896303,0.000185774,0.00001441839,0.0000393074,0.00007667379,0.00016349,0.0002130272,0.0007523601,0.99656,0.00001778339],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000490422,0.00002743384,0.00005219111,0.00003415798,0.00001265159,0.000005494658,0.9987594,0.0004274878,0.0006322549],"genre_scores_gemma":[0.0001592642,0.00003031848,0.0002079738,0.00003983469,0.000003000496,0.00004005843,0.9989699,0.0001527589,0.0003969588],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8549715,"threshold_uncertainty_score":0.4851687,"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."}}