{"id":"W6924351763","doi":"10.15468/dl.egsjgt","title":"Occurrence Download","year":2024,"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); Listing (finance); Range (aeronautics); 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":[0.001128879,0.002058067,0.001651981,0.006357365,0.0009987749,0.002840649,0.002749457,0.001720609,0.2216306],"category_scores_gemma":[0.006732976,0.001018783,0.001195299,0.01133211,0.0004663217,0.002424874,0.003056081,0.001847069,0.2847589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001788733,"about_ca_system_score_gemma":0.002753931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0274038,"about_ca_topic_score_gemma":0.04413386,"domain_scores_codex":[0.9989385,0.0001309928,0.00013861,0.0003367262,0.0002536169,0.0002015768],"domain_scores_gemma":[0.9970465,0.0007452869,0.0002793887,0.0007480844,0.0008239612,0.0003567864],"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":[0.00002574384,0.000007549369,0.000287804,0.0005485803,0.00001269252,0.00001140587,0.00001988307,0.00007990102,0.00009586394,0.0003334573,0.9971174,0.001459749],"study_design_scores_gemma":[0.00005300132,0.000005741863,0.001441729,0.0002076602,0.00001221426,0.00002567934,0.00005266229,0.00007395531,0.0001440187,0.0005887144,0.9973802,0.00001431189],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002307496,0.00001933596,0.00002960904,0.00002537283,0.000008928268,0.000004641635,0.9989128,0.0003062493,0.0006699456],"genre_scores_gemma":[0.0001202158,0.00003561703,0.0001692902,0.00004377654,0.000003390833,0.00003973705,0.998877,0.0001848365,0.0005260115],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7783694,"threshold_uncertainty_score":0.7414283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}