{"id":"W6905994037","doi":"10.15468/dl.t8en9k","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":"Matching (statistics); Download; Alien; Range (aeronautics); 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":[0.0009497423,0.001886676,0.001512521,0.004895783,0.001025463,0.002686428,0.002745121,0.001874325,0.1856158],"category_scores_gemma":[0.006257185,0.0008820712,0.001164221,0.009767858,0.0004114808,0.002402061,0.002658848,0.001921357,0.2497591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001600291,"about_ca_system_score_gemma":0.002345966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.019924,"about_ca_topic_score_gemma":0.03361532,"domain_scores_codex":[0.9989163,0.0001495207,0.0001340832,0.0003967217,0.0002319457,0.0001714315],"domain_scores_gemma":[0.9976943,0.0006568606,0.000210161,0.0005723817,0.000616085,0.0002501972],"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":[0.00002633882,0.000009346782,0.0003200846,0.0005182703,0.000011741,0.00001230285,0.00001950189,0.00009611627,0.00009805705,0.0003676293,0.9970379,0.00148286],"study_design_scores_gemma":[0.00005404144,0.000007150386,0.001453726,0.0001749462,0.00001171423,0.00002991268,0.00005884589,0.000113716,0.000154553,0.0007497086,0.9971761,0.00001574135],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003644155,0.00002900103,0.00004659959,0.00003788378,0.00001276882,0.00000561792,0.9986563,0.0003624759,0.0008129937],"genre_scores_gemma":[0.0001609804,0.00004013182,0.0002245407,0.00005554471,0.00000418735,0.00005201959,0.9986197,0.0001754542,0.0006674217],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8143842,"threshold_uncertainty_score":0.6209468,"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."}}