{"id":"W6943492762","doi":"10.15468/dl.w3ynyf","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); Alien; The Internet","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":[0.0010138,0.00189479,0.001580039,0.004883885,0.001088646,0.002540905,0.002810271,0.002117572,0.1605474],"category_scores_gemma":[0.005970463,0.0009018913,0.001275779,0.00951367,0.000457756,0.002428204,0.002634202,0.002016365,0.2277783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001602579,"about_ca_system_score_gemma":0.002319924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02200481,"about_ca_topic_score_gemma":0.03693276,"domain_scores_codex":[0.9989226,0.0001507564,0.0001370824,0.0003801248,0.000234244,0.0001751689],"domain_scores_gemma":[0.9973302,0.0007654349,0.000235209,0.0007258931,0.0006528022,0.0002905008],"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":[0.00002866674,0.00001220164,0.0003634357,0.000528536,0.00001358402,0.00001470874,0.00002380281,0.0001058801,0.0001209992,0.0003525459,0.9970414,0.001394147],"study_design_scores_gemma":[0.0000693829,0.000009302684,0.002037584,0.0002023646,0.00001435801,0.00003864252,0.00008181886,0.0001371496,0.0001897236,0.0007023095,0.9964989,0.00001827099],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004695222,0.00002886134,0.00004603473,0.00004016914,0.00001392563,0.000006245901,0.9987822,0.0003797841,0.0006557186],"genre_scores_gemma":[0.0001566581,0.00003474755,0.0002026837,0.00004833872,0.000003828051,0.00004652921,0.9988727,0.0001413006,0.0004932619],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8394526,"threshold_uncertainty_score":0.5370845,"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."}}