{"id":"W6887031549","doi":"10.15468/dl.lzpsme","title":"Occurrence Download","year":2018,"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); 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":[0.0009170151,0.001939083,0.001571647,0.005473081,0.0009495355,0.002440064,0.002820413,0.002013596,0.1341695],"category_scores_gemma":[0.005692902,0.000805637,0.001111435,0.01036735,0.0004448674,0.002148716,0.002455596,0.001972707,0.1931169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001566437,"about_ca_system_score_gemma":0.002392425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02003252,"about_ca_topic_score_gemma":0.03567892,"domain_scores_codex":[0.9990068,0.0001283938,0.000132409,0.0003427994,0.0002215385,0.0001681236],"domain_scores_gemma":[0.9975888,0.0006428038,0.0002421346,0.0006309014,0.0006080237,0.0002874133],"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":[0.00003158868,0.00001282037,0.0004652362,0.0006030155,0.00001761666,0.00001874297,0.00002434229,0.0001409223,0.0001365087,0.0003999356,0.9966538,0.001495467],"study_design_scores_gemma":[0.00007322668,0.000008889667,0.002110835,0.0002031234,0.0000160172,0.0000442786,0.00007360083,0.0001485146,0.0001964222,0.0007353604,0.9963722,0.00001759355],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004744878,0.00003095074,0.00003935961,0.00003303641,0.00001222891,0.000005104991,0.9989511,0.0003091684,0.0005715311],"genre_scores_gemma":[0.000149576,0.00003124982,0.0001547967,0.0000351378,0.000003227316,0.00003211068,0.9991385,0.00009376435,0.0003616473],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8658305,"threshold_uncertainty_score":0.4488416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881883250631837,"score_gpt":0.2330296220854826,"score_spread":0.2142107895791642,"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."}}