{"id":"W6943439273","doi":"10.15468/dl.ww2ymy","title":"Occurrence Download","year":2022,"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; 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":[0.0009254642,0.001835814,0.001477478,0.005154902,0.001061344,0.002872749,0.002764137,0.00204425,0.1764327],"category_scores_gemma":[0.00646704,0.0009629173,0.001189401,0.0100238,0.0004341152,0.002555209,0.002785583,0.002025723,0.2251796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001650312,"about_ca_system_score_gemma":0.002293134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02026843,"about_ca_topic_score_gemma":0.03318219,"domain_scores_codex":[0.998925,0.0001358044,0.0001501644,0.0003742155,0.0002412064,0.0001734796],"domain_scores_gemma":[0.9974108,0.0007502707,0.0002361397,0.0006723523,0.000665282,0.000265122],"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":[0.0000287021,0.00001117594,0.0004294721,0.0006282114,0.00001423404,0.00001699191,0.00002925056,0.0001251559,0.0001113114,0.0004268539,0.9962322,0.001946453],"study_design_scores_gemma":[0.00005507722,0.000006719755,0.001503607,0.0001957807,0.00001176453,0.00003861789,0.00008264317,0.0001393137,0.0001555698,0.0006604279,0.9971353,0.00001525462],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004395792,0.00002978327,0.00005623237,0.00004098051,0.00001285438,0.000005689627,0.9985728,0.000466524,0.0007712189],"genre_scores_gemma":[0.0001838636,0.00004256339,0.0002723694,0.00005010035,0.000003857327,0.00004518047,0.9986544,0.0001915237,0.0005561378],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8235673,"threshold_uncertainty_score":0.5902261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}