{"id":"W6943566453","doi":"10.15468/dl.zgjwl9","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":[0.0008869992,0.002152671,0.001619255,0.005048632,0.0008920974,0.002534775,0.002902911,0.001877152,0.1329613],"category_scores_gemma":[0.005723646,0.0009026483,0.001229574,0.01039194,0.0004173084,0.002261965,0.002611873,0.001866041,0.1975244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001575466,"about_ca_system_score_gemma":0.002464663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02324683,"about_ca_topic_score_gemma":0.03916642,"domain_scores_codex":[0.9989335,0.0001404376,0.0001414132,0.0003770251,0.000233541,0.0001740145],"domain_scores_gemma":[0.9977322,0.0005839475,0.0002492823,0.0005976392,0.0005668842,0.000270112],"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":[0.00003257562,0.00001040636,0.0004550404,0.0005388609,0.00001712009,0.00001476649,0.00002202569,0.0001339307,0.0001133602,0.0004075268,0.9968273,0.001427176],"study_design_scores_gemma":[0.00007169147,0.00000875672,0.001960388,0.0001823315,0.00001629521,0.00003949465,0.0000577505,0.0001542413,0.0001945851,0.0008107738,0.9964851,0.00001859229],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004560339,0.00003163772,0.00004134301,0.00003143581,0.00001143044,0.000004227596,0.9988694,0.0003720392,0.0005928704],"genre_scores_gemma":[0.0001527959,0.0000367297,0.0001630636,0.00003909662,0.000003161927,0.00003210925,0.9989883,0.0001265834,0.0004581505],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8670387,"threshold_uncertainty_score":0.4447998,"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."}}