{"id":"W6905904590","doi":"10.15468/dl.r4mkfy","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); Alien; Range (aeronautics)","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":[0.0009775809,0.002036492,0.001603352,0.004871664,0.00102376,0.002646005,0.002794215,0.00222223,0.1590234],"category_scores_gemma":[0.006157428,0.000897971,0.001294441,0.009005437,0.0004537061,0.00236487,0.002550424,0.002036407,0.2236485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001590453,"about_ca_system_score_gemma":0.002311464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02197785,"about_ca_topic_score_gemma":0.03475118,"domain_scores_codex":[0.9989877,0.0001409801,0.0001261211,0.0003559543,0.000219822,0.0001693336],"domain_scores_gemma":[0.997456,0.0007802295,0.0002150758,0.0006470961,0.0006179418,0.0002836392],"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":[0.00002832598,0.00001250476,0.0003903212,0.0005379013,0.00001396579,0.00001581424,0.0000223677,0.0001231954,0.0001126349,0.0003287101,0.9970451,0.001369257],"study_design_scores_gemma":[0.0000832339,0.00001067747,0.002089379,0.0002280856,0.00001631937,0.00004291953,0.00008630328,0.0002039037,0.0002061482,0.0008270369,0.9961862,0.00001985695],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004623687,0.00002910979,0.00004392368,0.0000418524,0.00001372863,0.000006081534,0.9988071,0.0004071702,0.0006047325],"genre_scores_gemma":[0.0001719516,0.00003463867,0.0001954532,0.00005187107,0.00000407438,0.00004693084,0.9988787,0.0001432582,0.0004731503],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8409766,"threshold_uncertainty_score":0.5319863,"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."}}