{"id":"W6943367263","doi":"10.15468/dl.umzdwy","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); Confidentiality; Identification (biology); 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":[0.0009751855,0.002004787,0.0016441,0.004961899,0.0009932384,0.002611209,0.002782868,0.002098346,0.1548466],"category_scores_gemma":[0.005616751,0.0009299013,0.00119507,0.01024863,0.0004289769,0.002320462,0.002528972,0.002029619,0.2171544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001581859,"about_ca_system_score_gemma":0.002345328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02196566,"about_ca_topic_score_gemma":0.03477984,"domain_scores_codex":[0.9989548,0.0001367285,0.0001338128,0.0003550965,0.0002439082,0.0001756279],"domain_scores_gemma":[0.9977286,0.0006377331,0.0002140736,0.0006028787,0.0005450114,0.0002717453],"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":[0.00002916956,0.00001121222,0.0003664983,0.0005133866,0.00001559229,0.00001502596,0.00002419395,0.0001255311,0.0001249314,0.000420076,0.9969397,0.001414705],"study_design_scores_gemma":[0.00007029643,0.000007551138,0.001804754,0.0001756691,0.00001464212,0.00003696933,0.00006775891,0.000145529,0.0002010924,0.0008025919,0.9966558,0.00001738222],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004040336,0.00002638931,0.00004386923,0.00003309731,0.00001082025,0.000004543961,0.9988874,0.0003487245,0.0006048644],"genre_scores_gemma":[0.0001457107,0.00003149772,0.000174931,0.00003958189,0.000002885289,0.00003415027,0.9990026,0.0001353518,0.0004332918],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8451534,"threshold_uncertainty_score":0.5180135,"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."}}