{"id":"W6943299516","doi":"10.15468/dl.mgab4r","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); State (computer science); Data collection","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":[0.001049034,0.002014554,0.001592497,0.005083875,0.001022162,0.002563075,0.002938644,0.002110459,0.148314],"category_scores_gemma":[0.006072593,0.0009054457,0.001207957,0.009919971,0.0004647541,0.002329703,0.002484873,0.002079821,0.2117919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001597359,"about_ca_system_score_gemma":0.002314374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02095832,"about_ca_topic_score_gemma":0.03459989,"domain_scores_codex":[0.9989218,0.0001583712,0.00013607,0.0003786456,0.0002278985,0.0001772875],"domain_scores_gemma":[0.9974763,0.0007217326,0.0002390143,0.0006718365,0.0006040183,0.0002870804],"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":[0.00002860941,0.00001191202,0.0003789607,0.0005346907,0.00001541491,0.00001453217,0.00002319087,0.0001342932,0.0001131854,0.0003824872,0.9970204,0.001342298],"study_design_scores_gemma":[0.00007086412,0.00000830458,0.001748835,0.0001887109,0.00001464541,0.00003541934,0.0000734716,0.0001546764,0.0001830513,0.0007887858,0.9967157,0.00001758893],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004161601,0.00002804249,0.00004368859,0.00003550056,0.00001262985,0.00000510497,0.9988945,0.0003284354,0.0006104367],"genre_scores_gemma":[0.0001544062,0.00003294415,0.000183577,0.00004247945,0.000003508079,0.00004027892,0.9989746,0.0001261598,0.0004420904],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.851686,"threshold_uncertainty_score":0.4961597,"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."}}