{"id":"W6962071060","doi":"10.15468/dl.vaz3z2","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); Column (typography); Scheme (mathematics)","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":[0.001044925,0.00207107,0.001619286,0.004408504,0.00108983,0.002544692,0.003030551,0.002156945,0.1562146],"category_scores_gemma":[0.006100907,0.000971715,0.001278594,0.008915002,0.000468521,0.002281091,0.002634108,0.002109493,0.2162775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001662678,"about_ca_system_score_gemma":0.002518811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02379063,"about_ca_topic_score_gemma":0.03945948,"domain_scores_codex":[0.9989499,0.0001404935,0.0001321198,0.0003706116,0.0002368749,0.0001700042],"domain_scores_gemma":[0.9975375,0.0007151866,0.0002153925,0.0006700142,0.0005910633,0.0002709049],"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":[0.00002969234,0.00001180884,0.0003607945,0.000508476,0.0000152147,0.00001531755,0.00002514833,0.0001292096,0.0001189517,0.0003826853,0.9970272,0.001375375],"study_design_scores_gemma":[0.00007973104,0.000008353442,0.001729276,0.000186041,0.00001500424,0.0000384796,0.00007463271,0.0001741709,0.0002098719,0.0008243979,0.9966412,0.00001896012],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004284108,0.0000261031,0.00005293635,0.0000372371,0.00001232371,0.000005689885,0.9987553,0.0004575457,0.0006098768],"genre_scores_gemma":[0.0001580375,0.00003063323,0.0002315887,0.00004454134,0.000003138721,0.00004502372,0.9988818,0.0001702295,0.0004350778],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8437854,"threshold_uncertainty_score":0.5225898,"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."}}