{"id":"W6943527466","doi":"10.15468/dl.yg0mze","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":"Download; Matching (statistics); Range (aeronautics); Data set; Confidentiality","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":[0.001055837,0.001987266,0.001610791,0.005117384,0.0008984546,0.002528045,0.003033791,0.002099568,0.133302],"category_scores_gemma":[0.006365172,0.0008769497,0.001189419,0.009980888,0.0004398836,0.002275378,0.00247082,0.001971848,0.1938123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001516675,"about_ca_system_score_gemma":0.002287359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01999499,"about_ca_topic_score_gemma":0.03401395,"domain_scores_codex":[0.998931,0.0001516326,0.0001450564,0.0003649897,0.000235117,0.0001723228],"domain_scores_gemma":[0.9973969,0.0007036094,0.0002635465,0.0007156337,0.0006209232,0.0002992908],"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":[0.00002906513,0.00001236413,0.000438726,0.0005247789,0.00001709919,0.00001532364,0.00002131864,0.0001409966,0.00010181,0.0003481546,0.9970187,0.001331799],"study_design_scores_gemma":[0.00009201261,0.000009945895,0.002362011,0.0002174876,0.00001743862,0.00004560762,0.00007306365,0.0001901536,0.0001992861,0.0008469885,0.9959266,0.00001946625],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004862827,0.00003027651,0.00004142711,0.00003496589,0.0000117008,0.000005286582,0.9989349,0.0003400989,0.0005527564],"genre_scores_gemma":[0.0001575396,0.00003030385,0.0001613392,0.00003712533,0.000003383111,0.0000364174,0.9990907,0.0001035301,0.0003796424],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.866698,"threshold_uncertainty_score":0.4459397,"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."}}