{"id":"W6905723321","doi":"10.15468/dl.krkmvc","title":"Occurrence Download","year":2022,"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); The Internet","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":[0.0009984229,0.001984894,0.001610641,0.005146657,0.0009666654,0.002500947,0.002800782,0.002061229,0.1478681],"category_scores_gemma":[0.005921417,0.000900038,0.001185615,0.009887438,0.0004505814,0.002277449,0.002471658,0.001951554,0.2088256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001493121,"about_ca_system_score_gemma":0.002258113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02042371,"about_ca_topic_score_gemma":0.03411435,"domain_scores_codex":[0.9989202,0.0001500784,0.0001424697,0.0003802312,0.0002294003,0.0001777357],"domain_scores_gemma":[0.9974616,0.0007135762,0.0002448657,0.0006666607,0.0006130884,0.000300266],"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":[0.00003158346,0.00001241692,0.0004099977,0.000570873,0.00001565236,0.00001588551,0.00002320445,0.0001284796,0.0001172726,0.0003425895,0.9969728,0.001359291],"study_design_scores_gemma":[0.00008215494,0.000009808322,0.002178224,0.0002125944,0.00001641205,0.00004315962,0.00007721195,0.0001617294,0.0001912527,0.0007509444,0.9962569,0.00001957311],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004532718,0.00002785255,0.00003967126,0.00003338254,0.00001164964,0.000005188291,0.9989595,0.0003289128,0.0005484626],"genre_scores_gemma":[0.0001623419,0.00003227424,0.0001727332,0.00004387923,0.000003533239,0.00004038594,0.9990045,0.0001205933,0.0004198619],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8521318,"threshold_uncertainty_score":0.4946682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}