{"id":"W6887175108","doi":"10.15468/dl.tcy9h3","title":"Occurrence Download","year":2017,"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); Tree (set theory); Column (typography)","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":[0.0009470414,0.002067718,0.001555244,0.005553782,0.0008894005,0.002540728,0.002820017,0.002019255,0.1331025],"category_scores_gemma":[0.005709512,0.0008218682,0.001180556,0.01097281,0.0004357462,0.002164891,0.00255352,0.001932178,0.204637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001640489,"about_ca_system_score_gemma":0.002515892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02225194,"about_ca_topic_score_gemma":0.03836393,"domain_scores_codex":[0.9989313,0.0001469437,0.0001406764,0.0003483423,0.0002469504,0.0001857426],"domain_scores_gemma":[0.9976575,0.0005955228,0.0002415776,0.0006085924,0.0006095228,0.0002872896],"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":[0.00003111899,0.00001173671,0.0004130465,0.0005581097,0.000017319,0.00001490985,0.00002157059,0.0001310653,0.0001107257,0.0003833599,0.996833,0.001474039],"study_design_scores_gemma":[0.00007591017,0.000008468105,0.001917935,0.0002002333,0.00001569655,0.00003731859,0.00006467695,0.000153592,0.0001867795,0.0007541298,0.9965682,0.00001709587],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000448742,0.00003276123,0.0000377105,0.00003311016,0.0000109119,0.000005168958,0.9989017,0.000330742,0.0006029268],"genre_scores_gemma":[0.0001435577,0.00003451267,0.0001429126,0.000035828,0.000003220684,0.00003171776,0.9991491,0.00009704959,0.000362054],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8668975,"threshold_uncertainty_score":0.4452723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02387106755018206,"score_gpt":0.2528130017232275,"score_spread":0.2289419341730454,"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."}}