{"id":"W6887184776","doi":"10.15468/dl.sttu4o","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); 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":[0.0008701121,0.001963116,0.001541307,0.005157577,0.001007171,0.002860477,0.002925533,0.001985518,0.1654398],"category_scores_gemma":[0.0058714,0.0008981472,0.001163996,0.0109583,0.0004153144,0.002614394,0.002582207,0.002093898,0.2385449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001764659,"about_ca_system_score_gemma":0.002374709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02451317,"about_ca_topic_score_gemma":0.03941531,"domain_scores_codex":[0.9989814,0.0001348495,0.000132562,0.0003493653,0.0002309135,0.000170828],"domain_scores_gemma":[0.9977376,0.0006000569,0.000197618,0.0005856858,0.0006310665,0.0002480033],"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":[0.00002449149,0.000009962999,0.0003259281,0.0004775551,0.00001210558,0.00001396294,0.00002255063,0.0001087337,0.00007922766,0.0003793431,0.9970706,0.001475639],"study_design_scores_gemma":[0.00005796012,0.000006216449,0.001407757,0.0001780766,0.00001097698,0.00003388663,0.00007509765,0.000146206,0.0001441767,0.0007396684,0.9971851,0.00001487697],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003945186,0.00003106133,0.0000480357,0.0000410868,0.00001222411,0.000005335402,0.9986137,0.0004228225,0.000786203],"genre_scores_gemma":[0.0001553082,0.00004013622,0.0002103204,0.00004294129,0.000003653899,0.00003894301,0.9988055,0.0001507704,0.0005524827],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8345602,"threshold_uncertainty_score":0.5534513,"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."}}