{"id":"W6943631209","doi":"10.15468/dl.zh8rce","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":"Download; Matching (statistics); Range (aeronautics); 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":[0.0009889158,0.001977128,0.001655455,0.005031416,0.0009812481,0.002618879,0.002846653,0.002062965,0.1665974],"category_scores_gemma":[0.005834871,0.0009356817,0.001109133,0.01015938,0.0004545587,0.002288635,0.00253691,0.002019248,0.2381288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001538346,"about_ca_system_score_gemma":0.002250184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01910484,"about_ca_topic_score_gemma":0.03263148,"domain_scores_codex":[0.9989904,0.0001379234,0.0001268585,0.0003565699,0.0002222007,0.0001660755],"domain_scores_gemma":[0.9975541,0.0006792092,0.000234536,0.0006472458,0.0005934975,0.0002913869],"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":[0.00002808679,0.00001090252,0.0003614284,0.0005450229,0.00001429837,0.00001430372,0.00002263741,0.0001227718,0.0001175894,0.0003748201,0.9970832,0.00130486],"study_design_scores_gemma":[0.00007603171,0.000007690246,0.001790638,0.0001838304,0.00001392189,0.00003473355,0.00007121753,0.0001392714,0.0001833538,0.0007964708,0.9966856,0.00001740049],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003798731,0.00002408218,0.0000415515,0.00003047965,0.00001058386,0.000004792422,0.9989329,0.0003204065,0.0005972018],"genre_scores_gemma":[0.0001549108,0.00003073554,0.0001882464,0.00004083223,0.000003311774,0.00004124225,0.9989422,0.0001417371,0.0004567464],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8334026,"threshold_uncertainty_score":0.5573237,"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."}}