{"id":"W6961778855","doi":"10.15468/dl.kb4ahb","title":"Occurrence Download","year":2016,"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; Confidentiality","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":[0.001006099,0.001973769,0.001678512,0.005224843,0.0009098648,0.002588677,0.002988358,0.00203733,0.1423916],"category_scores_gemma":[0.006019489,0.0008770073,0.001160909,0.01064978,0.0004369871,0.002379278,0.002569373,0.002075461,0.2125415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001562236,"about_ca_system_score_gemma":0.002410748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01925654,"about_ca_topic_score_gemma":0.03303421,"domain_scores_codex":[0.9988925,0.0001492271,0.0001428802,0.0003778354,0.0002601901,0.000177382],"domain_scores_gemma":[0.9975733,0.0006291507,0.0002561761,0.0006578867,0.0005870202,0.0002964994],"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":[0.00002705027,0.00001166727,0.0003937338,0.0004889843,0.00001572274,0.00001347595,0.00002107099,0.0001287115,0.0001027505,0.0003932886,0.9970292,0.001374417],"study_design_scores_gemma":[0.0000719188,0.000007846858,0.001924281,0.0001862891,0.00001424228,0.00003586825,0.00006502697,0.0001471806,0.0001805442,0.0007921488,0.996558,0.00001663993],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004330662,0.0000311773,0.00004156012,0.0000342967,0.00001111059,0.00000469982,0.9988962,0.0003238319,0.0006137571],"genre_scores_gemma":[0.0001478445,0.00003253709,0.0001572298,0.00003647124,0.000003157628,0.00003291498,0.999045,0.0001077321,0.0004372621],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8576084,"threshold_uncertainty_score":0.4763473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734962626846364,"score_gpt":0.227796013577581,"score_spread":0.2104463873091174,"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."}}