{"id":"W6962515762","doi":"10.15468/dl.z8y8ur","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); Data set; Data collection","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":[0.0009541061,0.001955086,0.00167724,0.004825156,0.0009512451,0.00250958,0.002795807,0.002102731,0.1603549],"category_scores_gemma":[0.005849223,0.000902714,0.001165806,0.009472948,0.0004296084,0.002235895,0.002547647,0.001968831,0.2138621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001532431,"about_ca_system_score_gemma":0.002315608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0216146,"about_ca_topic_score_gemma":0.03615155,"domain_scores_codex":[0.999016,0.0001275207,0.0001260612,0.0003399329,0.0002231455,0.0001672434],"domain_scores_gemma":[0.9977036,0.0006445314,0.0002196704,0.0005808652,0.000576999,0.0002744317],"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":[0.00003020272,0.00001088443,0.0003791286,0.000578603,0.00001565567,0.00001530677,0.00002283379,0.0001227164,0.0001205607,0.0003650982,0.9969777,0.001361352],"study_design_scores_gemma":[0.0000842207,0.000008571778,0.00204607,0.000210498,0.00001642018,0.0000400392,0.00007333834,0.0001626389,0.0002060284,0.0008387376,0.9962941,0.00001935176],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003918798,0.00002619747,0.00004166238,0.00003196215,0.00001019572,0.000004869756,0.9989067,0.0003666528,0.000572614],"genre_scores_gemma":[0.0001686753,0.00003233455,0.000196444,0.00004280949,0.000003236085,0.00004121961,0.9989471,0.0001472866,0.0004208476],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8396451,"threshold_uncertainty_score":0.5364407,"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."}}