{"id":"W6905941781","doi":"10.15468/dl.sk6ahe","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); Data set","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":[0.0009731792,0.001911717,0.001581799,0.004967767,0.0009495445,0.002547642,0.002722997,0.001990702,0.161192],"category_scores_gemma":[0.005779712,0.0009090642,0.001106608,0.009798647,0.0004475756,0.002266274,0.002487178,0.001955701,0.2183804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001497539,"about_ca_system_score_gemma":0.002223677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01915279,"about_ca_topic_score_gemma":0.03301666,"domain_scores_codex":[0.9990141,0.0001348252,0.0001273175,0.0003496166,0.0002140296,0.0001601363],"domain_scores_gemma":[0.997538,0.0007105159,0.0002422989,0.0006415849,0.000583678,0.0002839943],"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":[0.00002992818,0.00001201819,0.000412329,0.0006005142,0.00001606574,0.00001615516,0.00002631729,0.0001394509,0.0001280772,0.0004072735,0.9967617,0.001450167],"study_design_scores_gemma":[0.00007359657,0.000007792791,0.001899744,0.0001898431,0.00001412794,0.00003574064,0.00007535386,0.0001403749,0.0001878184,0.0008045057,0.9965531,0.00001814785],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004048079,0.00002357435,0.00004225719,0.00003045126,0.00001069288,0.000004800568,0.998948,0.0003133672,0.0005863571],"genre_scores_gemma":[0.0001681037,0.00003192752,0.0002053168,0.00004116111,0.000003412143,0.00004273952,0.9988936,0.0001421827,0.0004716034],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8388081,"threshold_uncertainty_score":0.5392408,"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."}}