{"id":"W6887208137","doi":"10.15468/dl.t1s9dy","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); 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":[0.0009678353,0.002078788,0.001551543,0.005652748,0.000951833,0.002618643,0.002919359,0.002043073,0.1446576],"category_scores_gemma":[0.006026886,0.0008381199,0.001164539,0.01063257,0.0004393886,0.002241776,0.002636323,0.001987975,0.210582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001638616,"about_ca_system_score_gemma":0.002468279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02171545,"about_ca_topic_score_gemma":0.03535019,"domain_scores_codex":[0.998913,0.0001453013,0.0001428967,0.0003578909,0.0002514821,0.0001893165],"domain_scores_gemma":[0.9974738,0.0006422856,0.0002509811,0.0006778229,0.0006447493,0.0003103853],"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":[0.00003102604,0.00001143537,0.0003795477,0.0005290654,0.0000153803,0.00001521266,0.00002128494,0.0001182328,0.000106316,0.0003692312,0.9970047,0.00139863],"study_design_scores_gemma":[0.00007698567,0.000008330692,0.001864121,0.0001949642,0.00001457329,0.00003762789,0.0000658042,0.0001430979,0.000187284,0.0007492048,0.9966414,0.00001664379],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004312576,0.00002880569,0.00003735574,0.00003468535,0.00001111977,0.000005503323,0.9988663,0.0003490857,0.0006240083],"genre_scores_gemma":[0.0001464307,0.00003227223,0.0001523644,0.00003779319,0.000003314315,0.00003564849,0.9990872,0.0001109611,0.0003940477],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8553424,"threshold_uncertainty_score":0.4839278,"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."}}