{"id":"W6887288362","doi":"10.15468/dl.xqtmqz","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); Column (typography)","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":[0.001004564,0.001950918,0.001708012,0.004979309,0.0009638352,0.002636757,0.002830712,0.002159051,0.1705643],"category_scores_gemma":[0.006281446,0.000936195,0.00117103,0.009763031,0.00043719,0.002404892,0.00251432,0.002022734,0.2215145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001535422,"about_ca_system_score_gemma":0.002277327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01964835,"about_ca_topic_score_gemma":0.03348498,"domain_scores_codex":[0.9989393,0.0001515493,0.0001393003,0.0003826187,0.0002167716,0.0001704292],"domain_scores_gemma":[0.9974463,0.0007695602,0.0002430976,0.0006555222,0.0005943806,0.0002912274],"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":[0.00002987425,0.00001127915,0.0003601001,0.0005879148,0.00001575793,0.00001463948,0.00002237399,0.000128927,0.000104414,0.0003607336,0.9970668,0.001297224],"study_design_scores_gemma":[0.00008785923,0.000008973725,0.001924482,0.0002079193,0.00001598655,0.00003778634,0.00007210436,0.0001625508,0.0001695603,0.0008511967,0.996442,0.00001951434],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003512316,0.00002417108,0.00003862443,0.00003189984,0.00001015856,0.000004778306,0.9990386,0.0003047205,0.0005119676],"genre_scores_gemma":[0.0001546263,0.00003186242,0.0001894908,0.00004482152,0.000003463322,0.00004327235,0.9989676,0.0001307384,0.0004341254],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8294357,"threshold_uncertainty_score":0.5705945,"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."}}