{"id":"W6943355017","doi":"10.15468/dl.t6nvhg","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); Set (abstract data type); Data set","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":[0.0009647345,0.001914407,0.00153653,0.004570617,0.0009504519,0.002372359,0.002801938,0.001984282,0.1410804],"category_scores_gemma":[0.005534199,0.0009134532,0.001182672,0.009284902,0.0004540116,0.002123519,0.002463064,0.002031553,0.1941583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001588072,"about_ca_system_score_gemma":0.002275396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0224925,"about_ca_topic_score_gemma":0.03638473,"domain_scores_codex":[0.9990649,0.0001230025,0.0001207179,0.0003197217,0.0002142835,0.0001573878],"domain_scores_gemma":[0.9978226,0.0006125825,0.0002047285,0.0005901768,0.0005192952,0.0002505943],"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":[0.00003078397,0.00001174702,0.0004148457,0.0005503892,0.00001641708,0.00001673912,0.0000271701,0.0001559012,0.000148536,0.0004332612,0.9966534,0.001540839],"study_design_scores_gemma":[0.00007075711,0.000007529969,0.001879085,0.0001786627,0.0000144352,0.00003901569,0.00007358452,0.0001630699,0.0002111481,0.000771708,0.9965734,0.00001765759],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004718914,0.00002592064,0.00005206959,0.00003441127,0.00001209039,0.000005260065,0.9987714,0.000428422,0.0006232671],"genre_scores_gemma":[0.0001687043,0.00003146848,0.000215673,0.00004098494,0.000002917335,0.00003970654,0.998933,0.000161597,0.0004059541],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8589196,"threshold_uncertainty_score":0.471961,"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."}}