{"id":"W6906088181","doi":"10.15468/dl.ueqdx9","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); Order (exchange); 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":[0.0009604728,0.001895831,0.001472381,0.005474613,0.000920372,0.002527241,0.002747821,0.001835694,0.1425827],"category_scores_gemma":[0.005836454,0.0008159248,0.001141484,0.01056172,0.0004264851,0.00231084,0.002690381,0.001966872,0.2132804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001499082,"about_ca_system_score_gemma":0.002390128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02082062,"about_ca_topic_score_gemma":0.03676387,"domain_scores_codex":[0.9988915,0.0001504191,0.0001450134,0.0003708809,0.0002494397,0.0001927423],"domain_scores_gemma":[0.9974465,0.0006022483,0.0002607107,0.0006910358,0.0006881598,0.000311345],"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":[0.00002807179,0.00001038311,0.0003839983,0.0004660359,0.00001428454,0.00001422238,0.0000222117,0.0001017566,0.00009916106,0.0003709285,0.9970691,0.001419835],"study_design_scores_gemma":[0.00006192264,0.000007398639,0.001851456,0.0001792586,0.00001280711,0.00003481708,0.00006800003,0.0001240807,0.0001678276,0.0007464262,0.9967307,0.00001539719],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004306983,0.00002774628,0.0000399062,0.0000356059,0.00001179955,0.000005354428,0.9988153,0.000359985,0.0006613344],"genre_scores_gemma":[0.000150055,0.00003148152,0.0001694807,0.00004240809,0.00000352742,0.00003480386,0.9990098,0.0001211798,0.0004372759],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8574173,"threshold_uncertainty_score":0.4769866,"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."}}