{"id":"W6961909697","doi":"10.15468/dl.vn4vma","title":"Occurrence Download","year":2022,"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); Download; Alien; Range (aeronautics); State (computer science)","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":[0.0009418305,0.002023886,0.001495126,0.004746159,0.0009889784,0.002473241,0.002626213,0.002012326,0.1511214],"category_scores_gemma":[0.006006971,0.0008790692,0.001221756,0.009418131,0.0004347007,0.002142947,0.002437203,0.001822478,0.2093693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001480899,"about_ca_system_score_gemma":0.002273877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02011613,"about_ca_topic_score_gemma":0.03253252,"domain_scores_codex":[0.9989519,0.0001460082,0.0001325475,0.000373278,0.0002224557,0.0001737272],"domain_scores_gemma":[0.9976528,0.0006828149,0.0002177279,0.000592067,0.0006019485,0.0002526582],"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":[0.00003445955,0.00001300537,0.0004353483,0.0005708822,0.00001490371,0.00001601769,0.00002165974,0.0001396732,0.0001329331,0.0003703384,0.9967077,0.001543127],"study_design_scores_gemma":[0.00007996721,0.00001147621,0.002011092,0.0001982151,0.00001566231,0.00003890421,0.00006995509,0.0001712927,0.0002149264,0.0008229599,0.9963459,0.00001959075],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005005677,0.00002896022,0.00004227647,0.00003620919,0.00001275676,0.000005465112,0.9987931,0.000390488,0.0006406009],"genre_scores_gemma":[0.0001725769,0.00003433042,0.0001945006,0.00004663107,0.000003753043,0.00004372282,0.9988974,0.0001386119,0.0004684198],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8488786,"threshold_uncertainty_score":0.5055515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}