{"id":"W6887108893","doi":"10.15468/dl.rascq3","title":"Occurrence Download","year":2023,"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); Alien; The Internet","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":[0.0009966589,0.001923968,0.001533554,0.004782954,0.001003428,0.002465981,0.002807825,0.00210021,0.159314],"category_scores_gemma":[0.005933636,0.0008934333,0.001226679,0.009273869,0.0004676242,0.002338508,0.002593365,0.002057216,0.2243895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00155097,"about_ca_system_score_gemma":0.002266809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02074655,"about_ca_topic_score_gemma":0.034109,"domain_scores_codex":[0.9989761,0.0001429946,0.0001255353,0.0003584269,0.0002234046,0.0001735885],"domain_scores_gemma":[0.9974411,0.0007308887,0.0002270406,0.0007044182,0.0006130243,0.0002835365],"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":[0.00002825655,0.00001204613,0.0003605013,0.0004918156,0.0000130532,0.00001421837,0.00002359134,0.0001248754,0.0001201816,0.0003667742,0.9970117,0.001433047],"study_design_scores_gemma":[0.00006827777,0.000008779307,0.001870736,0.0001896762,0.00001330902,0.0000360024,0.00007849809,0.0001506736,0.000194793,0.0007713501,0.9966004,0.00001758701],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004533004,0.00002495278,0.00004555253,0.00003750384,0.00001280771,0.000005586753,0.9988102,0.0003866146,0.0006315145],"genre_scores_gemma":[0.000160477,0.00003130551,0.0002070027,0.00004450297,0.000003507143,0.00004370393,0.9988983,0.0001466378,0.0004646659],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.840686,"threshold_uncertainty_score":0.5329583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}