{"id":"W6943457801","doi":"10.15468/dl.xbqcb9","title":"Occurrence Download","year":2018,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geodetic datum; Matching (statistics); Download; Range (aeronautics); Key (lock)","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":[0.000966431,0.002004825,0.001617962,0.005160647,0.001038169,0.003048455,0.003046785,0.002045554,0.1790636],"category_scores_gemma":[0.006554067,0.0009478664,0.001253401,0.01055734,0.0004259463,0.002616095,0.002747995,0.002086772,0.2691129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001653841,"about_ca_system_score_gemma":0.00238255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01952379,"about_ca_topic_score_gemma":0.03205187,"domain_scores_codex":[0.9989061,0.0001450566,0.0001382643,0.0003779373,0.0002525087,0.0001800953],"domain_scores_gemma":[0.9976109,0.0006353176,0.0002046226,0.0006387117,0.0006416612,0.0002686727],"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":[0.00002382743,0.000009162085,0.0002963451,0.0004609104,0.00001251108,0.00001160876,0.00001851004,0.00009891023,0.00007519693,0.0003410059,0.9971891,0.001462894],"study_design_scores_gemma":[0.00005684206,0.000006684075,0.001338435,0.0001754902,0.0000119444,0.00003109035,0.00006213507,0.0001407358,0.0001448,0.0007939838,0.9972233,0.00001453192],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003491349,0.00003208538,0.00004918672,0.00004113912,0.00001344016,0.000005243077,0.9986132,0.0004497594,0.0007610666],"genre_scores_gemma":[0.0001406413,0.00003996432,0.0001980168,0.00004576634,0.00000398353,0.00003993967,0.9988048,0.0001640862,0.0005627336],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8209364,"threshold_uncertainty_score":0.5990274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881883250631837,"score_gpt":0.2330296220854826,"score_spread":0.2142107895791642,"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."}}