{"id":"W6943652806","doi":"10.15468/dl.xukw76","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":[0.0009576912,0.002006335,0.001524261,0.004902204,0.0009790242,0.002504754,0.002577584,0.001989834,0.155269],"category_scores_gemma":[0.00622579,0.0008875592,0.001210581,0.009774096,0.0004448177,0.002112559,0.00248297,0.001801109,0.207269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001465538,"about_ca_system_score_gemma":0.002283964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0205534,"about_ca_topic_score_gemma":0.03300633,"domain_scores_codex":[0.9989491,0.0001457421,0.0001339048,0.0003759779,0.0002205064,0.0001748024],"domain_scores_gemma":[0.9975604,0.0007270983,0.0002309147,0.0006048619,0.0006115426,0.0002650717],"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":[0.00003581592,0.00001290981,0.0004630158,0.0006314141,0.00001594957,0.00001620582,0.00002408598,0.0001448733,0.0001404572,0.0003907322,0.9965307,0.001593725],"study_design_scores_gemma":[0.00008029737,0.00001126079,0.001994747,0.0002085556,0.00001631854,0.00003783413,0.00007196534,0.0001621441,0.000204208,0.0008193078,0.9963738,0.00001951243],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004919113,0.00002983445,0.00004102703,0.00003543486,0.00001263893,0.000005366215,0.9988179,0.0003775064,0.0006310675],"genre_scores_gemma":[0.0001767266,0.00003667456,0.0002025506,0.00004866529,0.000003730057,0.00004419407,0.9988748,0.000146382,0.0004662733],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.844731,"threshold_uncertainty_score":0.5194266,"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."}}