{"id":"W6943140305","doi":"10.15468/dl.odvhwf","title":"Occurrence Download","year":2019,"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); Column (typography)","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":[0.001040107,0.002012528,0.001623717,0.005944168,0.001020952,0.002683732,0.002800018,0.001977658,0.1746442],"category_scores_gemma":[0.006204337,0.0009226113,0.001227923,0.01052482,0.0004654136,0.002487041,0.00301474,0.001975972,0.2426942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001583441,"about_ca_system_score_gemma":0.002442242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02056843,"about_ca_topic_score_gemma":0.03570889,"domain_scores_codex":[0.9988336,0.0001511472,0.0001547546,0.0004065032,0.0002526061,0.0002014248],"domain_scores_gemma":[0.9971768,0.0007290767,0.0002734045,0.0007806186,0.0007034391,0.0003366155],"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":[0.00003333636,0.00001073412,0.0003690155,0.0005702734,0.00001597607,0.00001585385,0.00002490629,0.0001048215,0.0001308751,0.0004146462,0.99682,0.001489609],"study_design_scores_gemma":[0.00006411592,0.000008100333,0.001702577,0.0001759666,0.00001359418,0.0000358711,0.00006586181,0.0001132114,0.0001896774,0.000793409,0.9968207,0.00001694151],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003807456,0.00002467394,0.00004211706,0.0000312614,0.00001113873,0.000005160824,0.9988147,0.0004020488,0.0006307271],"genre_scores_gemma":[0.0001427496,0.00003141926,0.0001843239,0.00004350403,0.000003463342,0.00003658868,0.9989593,0.0001649349,0.0004336993],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8253558,"threshold_uncertainty_score":0.5842431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}