{"id":"W6905900560","doi":"10.15468/dl.pfzfq8","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); Data set; 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":[0.001033303,0.002022448,0.001642427,0.005059835,0.001112674,0.002540848,0.003037032,0.00217054,0.1471371],"category_scores_gemma":[0.005849889,0.0009634395,0.001257864,0.00998677,0.0004683567,0.002401935,0.002655553,0.002109932,0.2130544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001682292,"about_ca_system_score_gemma":0.002489299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02476165,"about_ca_topic_score_gemma":0.04026125,"domain_scores_codex":[0.9989343,0.0001430367,0.0001360834,0.0003602955,0.0002479583,0.0001782701],"domain_scores_gemma":[0.997672,0.0006398628,0.0002108781,0.0006296947,0.0005796512,0.0002678589],"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":[0.00003061856,0.00001229044,0.000380197,0.0005031176,0.00001503894,0.00001669486,0.00002596027,0.0001255804,0.0001325591,0.0004133286,0.9968601,0.001484548],"study_design_scores_gemma":[0.00006917267,0.000007629168,0.001816994,0.0001824631,0.00001409274,0.00003946609,0.00007638666,0.0001528976,0.0002019767,0.0007441771,0.9966767,0.0000180496],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004940277,0.00002920632,0.00005304457,0.00003851511,0.00001228802,0.000005550205,0.998669,0.000450862,0.0006920682],"genre_scores_gemma":[0.000151328,0.00003052919,0.0001978714,0.0000397403,0.000002925755,0.00003940033,0.9989598,0.0001507015,0.000427667],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8528629,"threshold_uncertainty_score":0.4922226,"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."}}