{"id":"W6962041908","doi":"10.15468/dl.luhr1h","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); 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":[0.0009544889,0.001824292,0.001519569,0.005191983,0.000945647,0.002525838,0.002813573,0.001871949,0.1523904],"category_scores_gemma":[0.005681103,0.0008210286,0.001114201,0.01046474,0.0004313952,0.002269492,0.002508315,0.001987108,0.2151905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001544667,"about_ca_system_score_gemma":0.002301342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02083909,"about_ca_topic_score_gemma":0.03544312,"domain_scores_codex":[0.9990168,0.0001322293,0.0001181743,0.0003386925,0.0002253155,0.0001688838],"domain_scores_gemma":[0.9977522,0.0005963503,0.0002208465,0.000591872,0.0005695561,0.0002690998],"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":[0.00002707664,0.00001143188,0.0004084446,0.0004824818,0.00001479635,0.00001398098,0.00002358441,0.000130173,0.0001095013,0.0004051992,0.9968443,0.001529166],"study_design_scores_gemma":[0.00006049155,0.000007493929,0.001887898,0.0001863491,0.00001332826,0.00003404487,0.00007332724,0.0001445065,0.0001713761,0.0007564152,0.9966488,0.00001588371],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004754172,0.00002990788,0.00004719726,0.00003519814,0.00001196161,0.000004883882,0.998769,0.0003630175,0.0006912657],"genre_scores_gemma":[0.0001538803,0.00003115881,0.0001758019,0.00003719418,0.000003142052,0.00003450088,0.9989676,0.0001291451,0.0004676395],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8476096,"threshold_uncertainty_score":0.5097967,"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."}}