{"id":"W6887132227","doi":"10.15468/dl.n3ce7d","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":"Matching (statistics); Download; Range (aeronautics); Set (abstract data type); 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":[0.0008741249,0.001907232,0.001537747,0.005037858,0.0009610517,0.002593397,0.002584872,0.001880663,0.1682289],"category_scores_gemma":[0.005568726,0.0008980253,0.001094197,0.0100027,0.0004047389,0.002274605,0.002426982,0.001819042,0.2240514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001516465,"about_ca_system_score_gemma":0.002252097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01996257,"about_ca_topic_score_gemma":0.03540906,"domain_scores_codex":[0.9990095,0.0001298023,0.0001249223,0.0003540369,0.0002133044,0.0001684736],"domain_scores_gemma":[0.997715,0.0006228752,0.0002261024,0.0005705547,0.0006068654,0.0002586331],"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":[0.0000315704,0.00001056428,0.0003935038,0.0005648533,0.00001443572,0.00001392374,0.00002074798,0.0001143982,0.000122822,0.0004088556,0.9968449,0.001459462],"study_design_scores_gemma":[0.00006451113,0.000007948922,0.001784865,0.0001799604,0.000013602,0.00003213231,0.00005556161,0.0001159897,0.0001721268,0.0007787935,0.9967774,0.00001707905],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003799927,0.00002619594,0.00003678109,0.00002906578,0.0000100455,0.000004233334,0.998917,0.0002831126,0.0006555624],"genre_scores_gemma":[0.0001555315,0.0000352569,0.0001799515,0.00004492001,0.000003533909,0.00003837956,0.9988662,0.0001326572,0.0005435494],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8317711,"threshold_uncertainty_score":0.5627818,"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."}}