{"id":"W6906000078","doi":"10.15468/dl.v9eums","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); Set (abstract data type); 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":[0.0009271469,0.001752871,0.001559382,0.005248594,0.001061037,0.002979719,0.002863325,0.001808174,0.2000567],"category_scores_gemma":[0.006726296,0.00091431,0.00116581,0.01097068,0.0004538307,0.002469734,0.002888195,0.001984049,0.2690625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00164525,"about_ca_system_score_gemma":0.00258769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02464149,"about_ca_topic_score_gemma":0.04230376,"domain_scores_codex":[0.9989634,0.0001391972,0.0001341786,0.0003623663,0.0002343885,0.0001665117],"domain_scores_gemma":[0.9974793,0.0007060479,0.0002256778,0.0006451643,0.0006650396,0.0002787573],"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":[0.00002196665,0.000007690735,0.0003137084,0.0005056519,0.00001269156,0.00001175042,0.00002257438,0.00008760345,0.00007754526,0.000375631,0.9970551,0.001508118],"study_design_scores_gemma":[0.00004688657,0.000005285792,0.001356352,0.0001947481,0.00001186721,0.00002936278,0.00006708938,0.0001007882,0.0001236544,0.000734908,0.9973151,0.00001395393],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003151785,0.00003201046,0.00004588769,0.0000401172,0.00001266379,0.000004892409,0.9986891,0.0003734861,0.0007704137],"genre_scores_gemma":[0.0001495914,0.00004651361,0.0002100382,0.00005029215,0.00000383673,0.00004446134,0.9986351,0.0001833919,0.0006767743],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7999433,"threshold_uncertainty_score":0.6692562,"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."}}