{"id":"W6906137261","doi":"10.15468/dl.zudfv6","title":"Occurrence Download","year":2016,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Range (aeronautics); Set (abstract data type); Download; 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":[0.0008705583,0.002112969,0.001610477,0.005086104,0.0008844703,0.002554938,0.002883879,0.001871354,0.1358335],"category_scores_gemma":[0.005742926,0.0008870359,0.001194159,0.01036622,0.0004130073,0.002268215,0.002630438,0.001853555,0.2001345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00158571,"about_ca_system_score_gemma":0.00248474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02292748,"about_ca_topic_score_gemma":0.03916735,"domain_scores_codex":[0.9989506,0.0001356604,0.0001401606,0.0003672635,0.0002331637,0.0001730832],"domain_scores_gemma":[0.9977385,0.0005827157,0.0002500067,0.0005881121,0.0005719236,0.0002686909],"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":[0.00003139568,0.00001003376,0.0004367734,0.0005245116,0.00001618783,0.00001453131,0.0000215592,0.0001267886,0.0001074827,0.0004074542,0.9968664,0.001436931],"study_design_scores_gemma":[0.00006696305,0.000008147483,0.001858931,0.0001806515,0.0000154254,0.00003833794,0.00005695125,0.0001491122,0.0001879476,0.0008045922,0.9966151,0.00001791793],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004437724,0.00003126208,0.00004176815,0.0000314822,0.0000113784,0.000004202356,0.9988635,0.0003657092,0.0006063466],"genre_scores_gemma":[0.0001510027,0.00003711027,0.0001669929,0.00003883226,0.000003184678,0.00003221648,0.9989691,0.0001263255,0.0004753397],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8641666,"threshold_uncertainty_score":0.4544082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734962626846364,"score_gpt":0.227796013577581,"score_spread":0.2104463873091174,"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."}}