{"id":"W6943476369","doi":"10.15468/dl.w4m99a","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; Species name","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":[0.001028944,0.001988615,0.001677969,0.005093764,0.001048316,0.002680053,0.002829034,0.002193683,0.1595192],"category_scores_gemma":[0.006335762,0.0009358525,0.001335812,0.009996157,0.0004654151,0.00241242,0.0026117,0.002042525,0.2303783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001684429,"about_ca_system_score_gemma":0.002439172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02261307,"about_ca_topic_score_gemma":0.03457774,"domain_scores_codex":[0.9989071,0.000151289,0.0001392371,0.0003803327,0.0002369429,0.0001850939],"domain_scores_gemma":[0.9973609,0.0007792854,0.0002338898,0.0006749629,0.0006632014,0.0002877576],"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":[0.00003086356,0.00001233765,0.0003879117,0.0006212393,0.00001516948,0.00001550206,0.0000238223,0.0001215844,0.0001268523,0.000352433,0.9968195,0.001472916],"study_design_scores_gemma":[0.0000748183,0.000009764873,0.002116007,0.0002315261,0.00001603309,0.00003689465,0.00008076814,0.0001520656,0.0002026717,0.0007245694,0.9963363,0.00001851143],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004328259,0.00003036436,0.00003956624,0.00003904998,0.00001277716,0.000005809395,0.9988343,0.0003739671,0.0006209919],"genre_scores_gemma":[0.0001552144,0.0000371664,0.0001763235,0.00004713879,0.0000035902,0.0000424045,0.9989529,0.0001349095,0.0004502667],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8404808,"threshold_uncertainty_score":0.5336448,"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."}}