{"id":"W6924585678","doi":"10.15468/dl.neb6rw","title":"Occurrence Download","year":2021,"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); Confidentiality; Order (exchange)","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":[0.0008653163,0.002007648,0.00155405,0.005018382,0.001052266,0.002553371,0.003120383,0.00204577,0.1550167],"category_scores_gemma":[0.005446901,0.0009124355,0.001203228,0.009839412,0.0004672425,0.002447573,0.00258901,0.002119662,0.2249165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001717385,"about_ca_system_score_gemma":0.002429258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02389473,"about_ca_topic_score_gemma":0.04210599,"domain_scores_codex":[0.9990298,0.0001304404,0.0001222,0.0003422939,0.0002181732,0.0001571595],"domain_scores_gemma":[0.9977903,0.0005820147,0.0001984933,0.0006138021,0.0005594155,0.0002558836],"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":[0.00002525531,0.00001121648,0.0003368855,0.0004762442,0.00001208579,0.00001476467,0.00002319377,0.0001157959,0.00009808548,0.0003652545,0.9970084,0.001512969],"study_design_scores_gemma":[0.00005638106,0.000007016572,0.001533203,0.0001667066,0.00001190909,0.0000374663,0.00007571765,0.0001526299,0.0001746545,0.0007075888,0.9970608,0.00001594215],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004420596,0.00002859412,0.00004779042,0.00003928281,0.00001217475,0.000005997575,0.9986424,0.0004305275,0.0007491317],"genre_scores_gemma":[0.0001448533,0.0000319897,0.0002098409,0.00003956007,0.000002965124,0.00004154952,0.9988528,0.0001348557,0.0005416173],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8449833,"threshold_uncertainty_score":0.5185826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}