{"id":"W6905725145","doi":"10.15468/dl.ponyoq","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); Listing (finance); Range (aeronautics); Order (exchange)","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":[0.001129046,0.001986848,0.001628891,0.00593468,0.0009805495,0.00279697,0.00284324,0.001705427,0.2107918],"category_scores_gemma":[0.006560463,0.0009643551,0.001172669,0.0112336,0.0004550965,0.002439142,0.003087225,0.001821977,0.2881159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001750787,"about_ca_system_score_gemma":0.002693289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02593822,"about_ca_topic_score_gemma":0.04183755,"domain_scores_codex":[0.9989309,0.0001351105,0.0001425182,0.0003472932,0.0002432967,0.0002008424],"domain_scores_gemma":[0.9973075,0.0006523405,0.0002564669,0.0007115519,0.0007497903,0.00032234],"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":[0.00002749047,0.000007389249,0.0002924687,0.0005370004,0.00001317695,0.00001159865,0.00002051779,0.00008032732,0.00009947557,0.0003747337,0.9970791,0.001456597],"study_design_scores_gemma":[0.00005056832,0.00000541331,0.001391239,0.0001985141,0.00001178368,0.00002521456,0.00005227603,0.00007208302,0.0001502367,0.0006629169,0.9973658,0.00001399576],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002195088,0.00001943409,0.00003145605,0.0000246011,0.000008960896,0.00000450715,0.9989071,0.0003061165,0.0006759639],"genre_scores_gemma":[0.0001192364,0.00003411616,0.0001630683,0.00004373218,0.000003241136,0.00003705178,0.9989255,0.0001754157,0.0004986141],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7892082,"threshold_uncertainty_score":0.7051688,"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."}}