{"id":"W6887336099","doi":"10.15468/dl.xt2q4q","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; 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":[0.001154087,0.001991794,0.001726013,0.00528026,0.001016147,0.002751195,0.003113009,0.002195822,0.1764979],"category_scores_gemma":[0.006808721,0.001019752,0.00120933,0.01085336,0.0004763808,0.002558594,0.002542539,0.002228071,0.2216485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001743865,"about_ca_system_score_gemma":0.002543294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02210022,"about_ca_topic_score_gemma":0.03421853,"domain_scores_codex":[0.9987981,0.0001650138,0.0001611842,0.0004164898,0.0002703449,0.0001887749],"domain_scores_gemma":[0.9971739,0.0008436799,0.0002561764,0.0007392402,0.0006686773,0.0003183339],"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":[0.00002941552,0.00001132726,0.0003247899,0.00051436,0.00001427024,0.00001398748,0.00002208651,0.0001312412,0.0001013742,0.0003885712,0.9971102,0.001338432],"study_design_scores_gemma":[0.00007402857,0.000007277317,0.00160984,0.0001796431,0.00001383308,0.00003304794,0.00007007474,0.0001585968,0.0001885517,0.0007970393,0.9968506,0.00001753679],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003415722,0.0000217497,0.00004142585,0.00003416497,0.00001060024,0.0000050349,0.9989428,0.0003225915,0.0005874805],"genre_scores_gemma":[0.0001475759,0.00002902749,0.0001796732,0.00003912574,0.000002967314,0.00004171631,0.9989691,0.0001354818,0.000455336],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8235021,"threshold_uncertainty_score":0.5904444,"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."}}