{"id":"W6943245224","doi":"10.15468/dl.vtbxvf","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":"Geodetic datum; Matching (statistics); Download; Range (aeronautics); Elevation (ballistics); Geographic coordinate conversion","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":[0.0009712017,0.002143316,0.001789536,0.005824564,0.001466475,0.003821683,0.003119108,0.002153765,0.2160683],"category_scores_gemma":[0.007492475,0.0009674642,0.001710758,0.01096892,0.0004455216,0.003746428,0.003680696,0.002112546,0.3292011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00158216,"about_ca_system_score_gemma":0.002592323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02046873,"about_ca_topic_score_gemma":0.03411248,"domain_scores_codex":[0.9985568,0.0001639588,0.0001904381,0.0005052289,0.0003386098,0.0002449023],"domain_scores_gemma":[0.9971409,0.0007124501,0.0002261646,0.0008199577,0.0008008549,0.0002996543],"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":[0.00004900564,0.00001350868,0.0004820033,0.0005957949,0.00001602225,0.00002915764,0.00003454844,0.000113298,0.000145869,0.0005304426,0.994528,0.00346233],"study_design_scores_gemma":[0.00003959041,0.000009792923,0.001210834,0.0001433825,0.00001193079,0.00005217066,0.00009809528,0.0001973069,0.0001960869,0.0009064761,0.9971157,0.00001864559],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001014617,0.00007584031,0.0001955305,0.00009141938,0.00004299599,0.00001200664,0.995015,0.002485068,0.001980759],"genre_scores_gemma":[0.0003160045,0.00007208105,0.0005508892,0.00009490493,0.00001019813,0.00005160216,0.9970512,0.000624008,0.001229025],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7839317,"threshold_uncertainty_score":0.7228206,"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."}}