{"id":"W6906083952","doi":"10.15468/dl.yuznye","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; Polygon (computer graphics)","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":[0.0008688627,0.002089965,0.001730442,0.005642711,0.00110531,0.002902455,0.00288617,0.002304041,0.1771869],"category_scores_gemma":[0.006534075,0.0009337772,0.001433469,0.01136965,0.0004275899,0.002713849,0.002818001,0.002015264,0.2506329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001890241,"about_ca_system_score_gemma":0.002678303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02854448,"about_ca_topic_score_gemma":0.04545071,"domain_scores_codex":[0.9988317,0.0001378093,0.0001619357,0.000389985,0.0002708513,0.0002076794],"domain_scores_gemma":[0.9974805,0.0006593036,0.0002206733,0.0006248454,0.0007360477,0.0002787154],"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":[0.00003311049,0.00001039386,0.000426386,0.0006625282,0.00001672338,0.00001808936,0.00002426052,0.0001415023,0.0001153627,0.0003942081,0.9963039,0.001853531],"study_design_scores_gemma":[0.00006496003,0.000007808659,0.001645199,0.000229825,0.00001398172,0.00003985929,0.00007694861,0.0001639827,0.0001583946,0.0006942729,0.9968877,0.00001703866],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004313118,0.00004024576,0.00004842746,0.00004060998,0.00001467248,0.000005084196,0.99855,0.0004837576,0.000774021],"genre_scores_gemma":[0.0001605022,0.00004663046,0.0002048397,0.0000478744,0.000003957519,0.00003287703,0.9988319,0.0001575305,0.0005139008],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8228131,"threshold_uncertainty_score":0.5927492,"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."}}