{"id":"W6905798300","doi":"10.15468/dl.nu7r74","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); 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":[0.0009827319,0.00190272,0.001558003,0.004804503,0.00104332,0.002622794,0.002723251,0.002103054,0.1809079],"category_scores_gemma":[0.006591855,0.0009017234,0.001234646,0.009084268,0.0004399425,0.002578647,0.002615155,0.002032706,0.2447483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001580168,"about_ca_system_score_gemma":0.002353337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.021296,"about_ca_topic_score_gemma":0.03429973,"domain_scores_codex":[0.9989448,0.0001492289,0.000127767,0.0003808214,0.0002269734,0.0001703533],"domain_scores_gemma":[0.997195,0.0008306689,0.0002326284,0.0007490818,0.0006980359,0.0002945579],"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":[0.00002640344,0.0000104693,0.0003378951,0.0004811129,0.00001195357,0.00001346149,0.00002170341,0.000110263,0.00009761876,0.000346338,0.9971868,0.001355945],"study_design_scores_gemma":[0.00006567034,0.000008049396,0.001584672,0.00019341,0.00001245365,0.00003193367,0.0000715441,0.0001514036,0.000167584,0.0008186743,0.9968779,0.00001661133],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004059666,0.00002749586,0.00004697677,0.00004512049,0.000014131,0.000006236746,0.9986345,0.0004541368,0.0007307011],"genre_scores_gemma":[0.0001699029,0.00003753277,0.000225362,0.00005849486,0.000004314303,0.00004973725,0.9986981,0.0001909845,0.0005654514],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8190921,"threshold_uncertainty_score":0.6051972,"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."}}