{"id":"W6905965479","doi":"10.15468/dl.k7erse","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); Alien; Range (aeronautics); Column (typography)","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":[0.0009649148,0.001883246,0.001537144,0.004852492,0.001004755,0.002566156,0.002687912,0.002055906,0.1681715],"category_scores_gemma":[0.006079908,0.0008659311,0.001229211,0.009017305,0.0004373388,0.002406818,0.002564382,0.001947955,0.2301042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001492461,"about_ca_system_score_gemma":0.002241233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02112231,"about_ca_topic_score_gemma":0.03379578,"domain_scores_codex":[0.9990059,0.0001388785,0.0001222076,0.0003548406,0.0002123118,0.0001659131],"domain_scores_gemma":[0.9973894,0.0007795969,0.00022398,0.0006860148,0.000641307,0.0002797362],"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":[0.00002678508,0.00001142596,0.000401486,0.0005112116,0.0000131888,0.00001479676,0.00002347256,0.0001202927,0.0001057465,0.000340726,0.9969556,0.001475246],"study_design_scores_gemma":[0.0000670314,0.000008908842,0.001930685,0.0002042445,0.00001381321,0.00003669821,0.00008247559,0.000168464,0.0001788022,0.000762868,0.9965283,0.00001767698],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000046111,0.00002755922,0.00004738338,0.00004094054,0.00001411915,0.000005924331,0.9987448,0.0004248279,0.000648287],"genre_scores_gemma":[0.0001763487,0.00003534518,0.0002172234,0.00005177232,0.000004285276,0.00004729458,0.9987833,0.0001654214,0.0005191556],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8318285,"threshold_uncertainty_score":0.5625896,"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."}}