{"id":"W6887193615","doi":"10.15468/dl.reahxh","title":"Occurrence Download","year":2022,"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":[0.0009603355,0.002033273,0.001555851,0.004571108,0.001029644,0.002547943,0.002828916,0.002230984,0.1613041],"category_scores_gemma":[0.006013338,0.0008902114,0.001294613,0.008408015,0.0004497189,0.002410709,0.002513102,0.002028232,0.2234669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00156164,"about_ca_system_score_gemma":0.002251609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02270692,"about_ca_topic_score_gemma":0.03648143,"domain_scores_codex":[0.9990274,0.0001396802,0.0001157302,0.0003482178,0.000208749,0.0001602432],"domain_scores_gemma":[0.9975585,0.0007398819,0.0001999914,0.0006372423,0.0005968452,0.0002674591],"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":[0.00002764337,0.00001239449,0.0003777287,0.0005008948,0.00001315589,0.00001545227,0.00002218844,0.0001232966,0.0001088622,0.0003301438,0.9971008,0.001367417],"study_design_scores_gemma":[0.00007822999,0.000009987211,0.001984928,0.0002129956,0.00001488336,0.00004086291,0.00008467807,0.0001999226,0.000201874,0.0008482494,0.9963037,0.00001958981],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004961505,0.00003046782,0.0000494236,0.0000450476,0.00001478781,0.000006710334,0.9986531,0.0004744553,0.0006764406],"genre_scores_gemma":[0.0001790036,0.00003377827,0.0002193629,0.00005317834,0.000004106783,0.00005013512,0.9988045,0.0001587047,0.0004973685],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8386959,"threshold_uncertainty_score":0.539616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}