{"id":"W6961959331","doi":"10.15468/dl.ojvo9t","title":"Occurrence Download","year":2017,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Electromagnetic Simulation and Numerical Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Order (exchange)","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":[0.0009571612,0.001959732,0.001579937,0.005526494,0.0009462211,0.002585396,0.002807047,0.002164312,0.109019],"category_scores_gemma":[0.006088601,0.0007391495,0.001224737,0.009328049,0.000435358,0.002283029,0.002552292,0.00183832,0.1688708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001598601,"about_ca_system_score_gemma":0.002259138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01857734,"about_ca_topic_score_gemma":0.03279686,"domain_scores_codex":[0.9989266,0.0001497577,0.0001461869,0.0003458087,0.0002569357,0.0001745664],"domain_scores_gemma":[0.9976241,0.0006187914,0.0002248457,0.0006112633,0.0006596719,0.000261247],"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":[0.00003585026,0.00001254026,0.0005372872,0.0006732911,0.00001942518,0.00002046428,0.00002114213,0.0002114513,0.0001226533,0.0005314096,0.9959015,0.001912886],"study_design_scores_gemma":[0.00007493411,0.000009241534,0.001851232,0.0002390639,0.00001508542,0.00004306581,0.00006837822,0.0002531345,0.0001971022,0.0009651096,0.9962667,0.00001700842],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005656726,0.00004139118,0.00005603554,0.0000389204,0.00001390384,0.00000641797,0.9987218,0.0004200446,0.0006448],"genre_scores_gemma":[0.0001863282,0.00004787618,0.0002132193,0.000047012,0.000004131849,0.00003675779,0.9989576,0.0001078695,0.0003991937],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8909811,"threshold_uncertainty_score":0.3647047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01656999631960206,"score_gpt":0.2532590308973232,"score_spread":0.2366890345777212,"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."}}