{"id":"W6887319589","doi":"10.15468/dl.xvg8hk","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","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":[0.0009111827,0.001900547,0.001611962,0.005235957,0.00088009,0.002431534,0.002811373,0.001977977,0.1458263],"category_scores_gemma":[0.005826047,0.000805142,0.001132306,0.01005664,0.0004190429,0.002101226,0.002452343,0.001859072,0.2012693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001410272,"about_ca_system_score_gemma":0.00218891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01870578,"about_ca_topic_score_gemma":0.03113638,"domain_scores_codex":[0.9990581,0.0001258981,0.0001239318,0.0003292845,0.0002035506,0.00015926],"domain_scores_gemma":[0.997713,0.0006362752,0.0002345794,0.0005854596,0.0005666082,0.0002641359],"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":[0.00003119594,0.00001183631,0.000463367,0.0006529452,0.00001961753,0.00001708219,0.00002432426,0.0001470201,0.0001249022,0.0003788183,0.9964971,0.001631819],"study_design_scores_gemma":[0.00007812132,0.000009247196,0.002214264,0.000225284,0.00001773599,0.00004176228,0.00007210983,0.0001546567,0.000186275,0.0007327258,0.9962497,0.00001800827],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004489472,0.00003325755,0.00003882233,0.00003187161,0.00001126652,0.000004727349,0.9990003,0.0003151347,0.0005198076],"genre_scores_gemma":[0.0001662346,0.00003516575,0.0001632032,0.00003729701,0.000003482508,0.00003456899,0.9990762,0.0001062188,0.0003775839],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8541737,"threshold_uncertainty_score":0.4878376,"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."}}