{"id":"W6943556306","doi":"10.15468/dl.njuayd","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); Confidentiality; Task (project management)","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":[0.0008804535,0.002050608,0.001616962,0.00517747,0.000926331,0.002580005,0.002667198,0.001907491,0.1650621],"category_scores_gemma":[0.005421922,0.0009386037,0.001174692,0.01010329,0.0004217783,0.002314995,0.002543805,0.001853788,0.2303404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001490624,"about_ca_system_score_gemma":0.002199559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01882453,"about_ca_topic_score_gemma":0.03235945,"domain_scores_codex":[0.9989552,0.0001382559,0.0001352858,0.0003790396,0.0002175247,0.0001745283],"domain_scores_gemma":[0.9976832,0.0006218742,0.0002326328,0.0005987965,0.000590963,0.0002724956],"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":[0.00003462575,0.00001137469,0.0003821954,0.0005951407,0.00001576904,0.00001430522,0.00002129251,0.0001218678,0.0001286415,0.0003804257,0.9967889,0.001505537],"study_design_scores_gemma":[0.0000725519,0.000008877768,0.001748218,0.0001804261,0.00001466863,0.00003452085,0.00005763978,0.0001275168,0.0001781901,0.0007436303,0.9968156,0.00001810118],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003854198,0.0000271487,0.00003683704,0.00002861701,0.00001079088,0.000004475144,0.9989427,0.0003036834,0.0006072472],"genre_scores_gemma":[0.0001442914,0.00003598969,0.0001767367,0.00004523746,0.000003469933,0.00003716652,0.9989484,0.0001279766,0.0004807662],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8349379,"threshold_uncertainty_score":0.5521878,"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."}}