{"id":"W6887105435","doi":"10.15468/dl.mfkskr","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); 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":[0.0009917364,0.002105672,0.001704345,0.005852435,0.001116358,0.003086273,0.003248928,0.002121713,0.1891397],"category_scores_gemma":[0.006120617,0.001075141,0.00137246,0.01232637,0.0004519896,0.002758889,0.002800577,0.002347264,0.2589635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001907282,"about_ca_system_score_gemma":0.002636137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0226807,"about_ca_topic_score_gemma":0.03447999,"domain_scores_codex":[0.9988472,0.0001429448,0.0001558887,0.0003916864,0.0002691758,0.0001929845],"domain_scores_gemma":[0.9974315,0.000671063,0.0002232908,0.0007125157,0.0006536095,0.0003080675],"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":[0.00002866026,0.000009600103,0.0002856877,0.0005233095,0.00001257438,0.0000145198,0.00002070151,0.0001078172,0.0001010279,0.0003882708,0.9969748,0.001532982],"study_design_scores_gemma":[0.00005510569,0.00000596916,0.001320407,0.0001489694,0.00001089264,0.00003251577,0.00006060476,0.0001173749,0.0001542601,0.0006011489,0.9974776,0.00001521249],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003280947,0.00002538324,0.00004325859,0.00003931677,0.0000125129,0.000005301415,0.9986444,0.0004002886,0.000796786],"genre_scores_gemma":[0.0001296532,0.0000372705,0.00020008,0.00004336945,0.000003481078,0.00004096082,0.9987336,0.0001635349,0.000647953],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8108603,"threshold_uncertainty_score":0.6327353,"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."}}