{"id":"W6886872237","doi":"10.15468/dl.3hyahc","title":"Occurrence Download","year":2024,"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; Set (abstract data type)","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":[0.001078255,0.001847726,0.00163402,0.005378251,0.0009887683,0.002740105,0.00287212,0.001957923,0.1892244],"category_scores_gemma":[0.006520785,0.0009658724,0.001194775,0.01031665,0.0004564462,0.002360678,0.002828382,0.001949567,0.2466643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001543707,"about_ca_system_score_gemma":0.002432936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01989476,"about_ca_topic_score_gemma":0.03418334,"domain_scores_codex":[0.9988902,0.0001507257,0.0001478495,0.000378679,0.0002472173,0.0001853034],"domain_scores_gemma":[0.9972551,0.0007517069,0.000264271,0.0007221071,0.0006911964,0.0003156182],"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":[0.00003067436,0.00001032098,0.000368988,0.0006182446,0.00001729835,0.00001431546,0.00002465295,0.0001062661,0.0001286522,0.0004073478,0.9967425,0.001530881],"study_design_scores_gemma":[0.00006196101,0.000006882876,0.001606977,0.0001910061,0.00001464307,0.00003122738,0.00005982711,0.0001001983,0.0001797236,0.0007301645,0.9970012,0.0000161014],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003374643,0.0000261301,0.00004170874,0.00003067217,0.0000100527,0.000004984377,0.9988657,0.0003414926,0.0006455304],"genre_scores_gemma":[0.0001458608,0.00003537211,0.0001928768,0.00004633389,0.000003392724,0.00004239002,0.998889,0.0001695874,0.0004751423],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8107756,"threshold_uncertainty_score":0.6330187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}