{"id":"W6961761280","doi":"10.15468/dl.mhjmpj","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); Alien; Species name","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":[0.0009733921,0.001994019,0.001591053,0.004732628,0.001008663,0.002661498,0.002812311,0.00214376,0.1759788],"category_scores_gemma":[0.006459342,0.0009326809,0.001257,0.008868467,0.0004479698,0.002433233,0.002588687,0.002051004,0.2376112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001555537,"about_ca_system_score_gemma":0.002267265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01998843,"about_ca_topic_score_gemma":0.03078803,"domain_scores_codex":[0.9990162,0.0001355024,0.000120919,0.0003595794,0.0002059545,0.0001619211],"domain_scores_gemma":[0.9975042,0.0007771152,0.0002170369,0.0006354974,0.0005852361,0.0002809783],"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":[0.00002767051,0.00001149403,0.0003592592,0.0005599928,0.00001442982,0.00001448502,0.00002185003,0.0001223991,0.0001061663,0.0003308859,0.9970345,0.0013968],"study_design_scores_gemma":[0.00007859287,0.000009579358,0.001845395,0.000230093,0.00001637249,0.0000379863,0.00007862323,0.0001823613,0.000193528,0.0008248808,0.9964839,0.0000185832],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003980049,0.00002845121,0.0000437497,0.00004047135,0.00001337641,0.000005745392,0.9988369,0.0004032347,0.0005882365],"genre_scores_gemma":[0.0001685462,0.00003662161,0.0002047288,0.00005355884,0.000003940065,0.00004929355,0.9988387,0.0001650249,0.0004796657],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8240212,"threshold_uncertainty_score":0.5887077,"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."}}