{"id":"W6962182210","doi":"10.15468/dl.wmcqmq","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); Alien; Identification (biology)","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":[0.001108487,0.002036641,0.001656811,0.005065626,0.001069612,0.002617639,0.002918042,0.002218547,0.1439451],"category_scores_gemma":[0.00600526,0.000931498,0.001251062,0.009798258,0.0004731985,0.002307655,0.002551205,0.002142529,0.2084345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001679552,"about_ca_system_score_gemma":0.002492984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02316664,"about_ca_topic_score_gemma":0.03725191,"domain_scores_codex":[0.9988651,0.0001608239,0.000142776,0.0003949862,0.0002526086,0.0001837197],"domain_scores_gemma":[0.9973092,0.0007969487,0.0002433945,0.0007211658,0.0006268382,0.0003025572],"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":[0.00003127984,0.00001318077,0.000380624,0.0005263189,0.00001560028,0.00001533143,0.00002325924,0.0001292854,0.0001288994,0.0003881282,0.9970006,0.001347378],"study_design_scores_gemma":[0.00008120223,0.000009489706,0.002130717,0.0001951393,0.00001578964,0.00003969001,0.00007609323,0.0001579387,0.000219642,0.0008090297,0.9962457,0.00001961263],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004339559,0.00002629514,0.00004329387,0.00003583889,0.00001173625,0.000005269324,0.9989059,0.0003547915,0.000573314],"genre_scores_gemma":[0.0001474266,0.00003019822,0.0001779619,0.00004100227,0.000003197186,0.00003955228,0.9990189,0.0001277537,0.0004140111],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8560549,"threshold_uncertainty_score":0.4815443,"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."}}