{"id":"W6887318003","doi":"10.15468/dl.xmfbme","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":"Geodetic datum; Download; Matching (statistics); Range (aeronautics); Identification (biology)","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":[0.0009304056,0.001897785,0.001623434,0.005136784,0.001115259,0.002911521,0.002854549,0.001959741,0.1920619],"category_scores_gemma":[0.005859794,0.0009557305,0.0012857,0.009819396,0.0004455315,0.002521829,0.002781204,0.002007774,0.2744778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001559461,"about_ca_system_score_gemma":0.002364167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02067639,"about_ca_topic_score_gemma":0.03264858,"domain_scores_codex":[0.9989977,0.0001277178,0.0001351644,0.0003619619,0.0002007054,0.0001768011],"domain_scores_gemma":[0.9978079,0.0005791185,0.0001896349,0.0006022663,0.0005813335,0.0002397678],"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":[0.00002936849,0.000009301746,0.0003715219,0.0005945705,0.00001497274,0.00001578732,0.00002714725,0.0001078664,0.0001203167,0.0003831892,0.996485,0.001840824],"study_design_scores_gemma":[0.00005258273,0.000006263968,0.001436412,0.0001757632,0.00001256215,0.00003377758,0.00007220362,0.0001187384,0.0001559905,0.000672656,0.9972478,0.000015264],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003788332,0.00002966333,0.00005412493,0.00003650897,0.00001496362,0.000005769516,0.9986222,0.0004755734,0.0007233756],"genre_scores_gemma":[0.0001536378,0.00003921215,0.0002306559,0.00004873883,0.000004047195,0.00004699964,0.9987217,0.0001981518,0.0005568527],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8079381,"threshold_uncertainty_score":0.6425111,"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."}}