{"id":"W6925073316","doi":"10.15468/dl.nqbp5y","title":"Occurrence Download","year":2024,"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","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":[0.0009706412,0.001916848,0.001598339,0.0053665,0.0009869819,0.002865996,0.002819911,0.001870996,0.1915855],"category_scores_gemma":[0.006503167,0.0009674145,0.001209378,0.01094238,0.0004379091,0.002482927,0.002693485,0.001974292,0.2643082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001620305,"about_ca_system_score_gemma":0.002458937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02201592,"about_ca_topic_score_gemma":0.03496237,"domain_scores_codex":[0.9989661,0.0001358074,0.0001417649,0.0003664888,0.0002241611,0.0001657545],"domain_scores_gemma":[0.9974604,0.0007577737,0.0002251664,0.0006519313,0.0006361334,0.0002685292],"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":[0.00002550813,0.000009428662,0.0003532344,0.0005993842,0.00001361273,0.00001424954,0.00002586287,0.0001076387,0.00009791004,0.000383893,0.9967115,0.00165772],"study_design_scores_gemma":[0.00005153262,0.000005962792,0.001388177,0.0001804748,0.00001193807,0.00003175865,0.00006999366,0.0001112384,0.0001473811,0.0006726533,0.9973146,0.00001420405],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003346944,0.00002696464,0.00004739383,0.00003376017,0.00001086808,0.000005191959,0.9987348,0.0004002639,0.0007072363],"genre_scores_gemma":[0.0001505738,0.0000424069,0.0002312647,0.00004675239,0.000003581918,0.00004619982,0.9987055,0.0001897045,0.000583943],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8084145,"threshold_uncertainty_score":0.6409173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}