{"id":"W6943329264","doi":"10.15468/dl.pef6if","title":"Occurrence Download","year":2018,"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); Data set; Set (abstract data type)","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":[0.0009563933,0.002072706,0.001662221,0.005368317,0.001003062,0.002675505,0.003033377,0.002003698,0.148875],"category_scores_gemma":[0.005781787,0.0008618975,0.001153654,0.01102532,0.0004548758,0.002283201,0.002674378,0.002070401,0.2209015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001683501,"about_ca_system_score_gemma":0.002637129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02587345,"about_ca_topic_score_gemma":0.04350053,"domain_scores_codex":[0.9989611,0.0001282729,0.0001272335,0.000362004,0.0002419357,0.0001794279],"domain_scores_gemma":[0.9976422,0.0005996365,0.0002340388,0.0006223637,0.0006081644,0.0002935308],"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":[0.00002803328,0.00001097665,0.0003693799,0.0004761041,0.00001518392,0.00001562275,0.00002524144,0.0001177789,0.0001100842,0.0003860247,0.9971415,0.001304],"study_design_scores_gemma":[0.00006940892,0.000007040423,0.001853335,0.0001726693,0.00001452585,0.0000373373,0.00007339998,0.0001403624,0.0001925743,0.0007749025,0.9966466,0.0000178589],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004192309,0.00002597563,0.00004455813,0.00003110813,0.00001070525,0.00000463885,0.9988257,0.000396634,0.0006188243],"genre_scores_gemma":[0.0001390039,0.00002842107,0.0001720889,0.00003257941,0.000002906043,0.00003311624,0.9990526,0.0001345562,0.0004047949],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.851125,"threshold_uncertainty_score":0.4980366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881883250631837,"score_gpt":0.2330296220854826,"score_spread":0.2142107895791642,"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."}}