{"id":"W6887213114","doi":"10.15468/dl.vqmgoj","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":[0.0009238155,0.002019495,0.001631896,0.005513879,0.001101807,0.003056529,0.002995751,0.002095563,0.1686589],"category_scores_gemma":[0.006333386,0.0009525311,0.00136801,0.01100721,0.0004160344,0.002821019,0.002891259,0.002147318,0.2523765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001656147,"about_ca_system_score_gemma":0.002445083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0194423,"about_ca_topic_score_gemma":0.0333503,"domain_scores_codex":[0.9988379,0.0001496282,0.0001510749,0.000410371,0.000257606,0.0001934538],"domain_scores_gemma":[0.9976251,0.000624117,0.0002015892,0.0006437094,0.0006453528,0.0002602243],"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":[0.00002990501,0.00001086692,0.0003853997,0.0006287992,0.00001666075,0.00001655956,0.00002582486,0.0001266179,0.0001156226,0.0004409642,0.9962837,0.001919117],"study_design_scores_gemma":[0.00005546867,0.000007457989,0.001387274,0.0002011754,0.00001362789,0.00003709002,0.00007542768,0.0001535139,0.0001617895,0.0008165876,0.9970747,0.00001589929],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004513685,0.00004041348,0.00006061658,0.00004499812,0.00001631189,0.000006167038,0.998368,0.0005429486,0.0008754908],"genre_scores_gemma":[0.0001559336,0.00004532663,0.0002446529,0.00004955302,0.000004044444,0.00004091492,0.9987426,0.0001732264,0.000543688],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8313411,"threshold_uncertainty_score":0.5642202,"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."}}