{"id":"W6943554673","doi":"10.15468/dl.ws4dcy","title":"Occurrence Download","year":2021,"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":[0.0009441134,0.001867924,0.001587293,0.00501221,0.001011508,0.002837532,0.00272239,0.001908216,0.1807445],"category_scores_gemma":[0.006780928,0.0009515683,0.001199654,0.01018803,0.000421683,0.002614727,0.002696492,0.002078139,0.2480442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001589998,"about_ca_system_score_gemma":0.00237122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02056613,"about_ca_topic_score_gemma":0.03299156,"domain_scores_codex":[0.998928,0.0001405107,0.0001405466,0.0003837284,0.0002355721,0.0001716901],"domain_scores_gemma":[0.9974186,0.0007519774,0.0002330776,0.0006709996,0.0006393893,0.0002860303],"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":[0.00002496366,0.000008839102,0.0003379511,0.0005165464,0.0000130238,0.00001295777,0.00002211276,0.0001061811,0.00008783453,0.0003572761,0.9970002,0.001512121],"study_design_scores_gemma":[0.00005578436,0.000006524624,0.001511588,0.0001894189,0.00001269168,0.00003225431,0.00006923475,0.0001373456,0.0001582245,0.000741419,0.9970698,0.00001576213],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003558702,0.00002767946,0.00004690378,0.00003925436,0.00001339555,0.000005156433,0.9986855,0.0004346877,0.0007118194],"genre_scores_gemma":[0.0001554807,0.00003930043,0.0002139516,0.00004708788,0.000003943515,0.00004326953,0.9987453,0.0001852751,0.0005663232],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8192555,"threshold_uncertainty_score":0.6046505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}