{"id":"W6924648810","doi":"10.15468/dl.yptk9x","title":"Occurrence Download","year":2019,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Geography and Environmental Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Rutilus; R package","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":[0.0008391719,0.001939854,0.001535537,0.00492829,0.000947517,0.00250691,0.002750519,0.002016199,0.1453978],"category_scores_gemma":[0.005400836,0.0009035696,0.001225375,0.009316735,0.0004353921,0.002255697,0.002446889,0.001954895,0.2051811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001621394,"about_ca_system_score_gemma":0.002203532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02357743,"about_ca_topic_score_gemma":0.03767397,"domain_scores_codex":[0.9990636,0.0001254248,0.0001252685,0.0003272952,0.0002028912,0.0001555327],"domain_scores_gemma":[0.9980085,0.0005534659,0.0001819465,0.0005080446,0.0005139784,0.0002341263],"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":[0.00002985896,0.00001178577,0.0004006326,0.0005728684,0.00001514442,0.00001682663,0.00002579249,0.0001363753,0.0001098193,0.0003709979,0.996796,0.001513936],"study_design_scores_gemma":[0.00007672107,0.000007753062,0.001761627,0.0001944883,0.00001411545,0.00003945727,0.00008152169,0.0001896186,0.0001753816,0.0006890352,0.9967542,0.00001607028],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004966115,0.00003323641,0.00004708173,0.00003933698,0.00001299069,0.000005982026,0.9987204,0.0004392198,0.0006521756],"genre_scores_gemma":[0.0001689807,0.00003782188,0.0002000753,0.0000440276,0.000003407454,0.00003970763,0.9989051,0.0001512003,0.000449639],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8546022,"threshold_uncertainty_score":0.4864041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01089355908927087,"score_gpt":0.1871664846742666,"score_spread":0.1762729255849957,"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."}}