{"id":"W6905642175","doi":"10.15468/dl.44zmqp","title":"Occurrence Download","year":2024,"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); Order (exchange); State (computer science)","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":[0.0009481036,0.002003067,0.001526778,0.004554665,0.001015594,0.002309829,0.002840051,0.002054485,0.1257839],"category_scores_gemma":[0.005604509,0.000879062,0.001202834,0.00857972,0.0004559972,0.002115732,0.002492437,0.002028701,0.1902236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001574627,"about_ca_system_score_gemma":0.002300017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02118355,"about_ca_topic_score_gemma":0.03822226,"domain_scores_codex":[0.9989647,0.0001392536,0.0001323797,0.0003509813,0.0002387274,0.0001739019],"domain_scores_gemma":[0.9976972,0.0006128117,0.0002123499,0.0006318949,0.0005749288,0.0002708462],"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":[0.00003066248,0.00001329375,0.0004243647,0.0004732144,0.00001468309,0.00001575904,0.00002393713,0.0001434294,0.0001333645,0.000358064,0.9969278,0.001441423],"study_design_scores_gemma":[0.00007844488,0.000009733659,0.002083255,0.0001857447,0.00001485952,0.00004274653,0.00008250548,0.0002050953,0.0002313489,0.0007648013,0.9962831,0.00001824854],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005483145,0.00002874087,0.0000493591,0.00003780529,0.00001406019,0.000006017466,0.9987451,0.0004340241,0.0006299657],"genre_scores_gemma":[0.000160818,0.00002680047,0.0002033692,0.00003700215,0.000003086303,0.00003817189,0.9990326,0.0001191872,0.0003788688],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8742161,"threshold_uncertainty_score":0.4207892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}