{"id":"W6924694392","doi":"10.15468/dl.z3umf2","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":"Matching (statistics); Download; Range (aeronautics); Set (abstract data type)","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":[0.0009220392,0.001987175,0.001586203,0.00486089,0.0009601968,0.002419426,0.002819806,0.002028806,0.1482579],"category_scores_gemma":[0.005437609,0.0009292384,0.001178897,0.009693492,0.00045472,0.002145233,0.002497003,0.001986296,0.2035207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001641705,"about_ca_system_score_gemma":0.002334519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0248747,"about_ca_topic_score_gemma":0.04012256,"domain_scores_codex":[0.9990796,0.00011598,0.000117282,0.0003229315,0.000208466,0.0001557233],"domain_scores_gemma":[0.9978226,0.0006152341,0.0002086982,0.0005651734,0.000534849,0.0002534547],"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":[0.00002890624,0.00001151749,0.0004134531,0.0005649272,0.00001624287,0.00001631062,0.00002856255,0.0001486651,0.0001422339,0.0004203235,0.9966859,0.001522939],"study_design_scores_gemma":[0.00006901674,0.000007416058,0.001902786,0.0001837502,0.00001476721,0.00003759786,0.00007631163,0.0001606777,0.0002009848,0.0007320403,0.9965965,0.00001814289],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004400863,0.00002539992,0.00004870192,0.00003271585,0.00001138209,0.00000497998,0.998807,0.0004068664,0.0006189711],"genre_scores_gemma":[0.0001662003,0.00003201957,0.000214403,0.00004114583,0.000002999002,0.00003975831,0.9988942,0.0001714091,0.0004378299],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8517421,"threshold_uncertainty_score":0.495972,"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."}}