{"id":"W6887209661","doi":"10.15468/dl.vr6xcd","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); 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":[0.001014394,0.001828184,0.001525484,0.004858072,0.0009665899,0.002418008,0.002744965,0.002048688,0.1397861],"category_scores_gemma":[0.005834952,0.0008951451,0.001112975,0.009300922,0.0004465675,0.002172703,0.002493491,0.002016992,0.1955378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001593294,"about_ca_system_score_gemma":0.002245428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02046448,"about_ca_topic_score_gemma":0.0336849,"domain_scores_codex":[0.9990151,0.0001352407,0.0001283025,0.000341224,0.0002160953,0.0001640526],"domain_scores_gemma":[0.9975998,0.0006840202,0.0002351965,0.0006373993,0.0005680713,0.0002754823],"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":[0.00002898958,0.00001238329,0.0004429784,0.0005303244,0.00001499473,0.00001579239,0.00002681545,0.0001476739,0.0001322531,0.0004223323,0.9967144,0.001511176],"study_design_scores_gemma":[0.00006976935,0.000008189762,0.001958418,0.0001912993,0.00001412252,0.00003799431,0.00007938217,0.0001624758,0.0001911118,0.000742383,0.9965279,0.00001697635],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004780421,0.00002534607,0.00004509373,0.00003587873,0.00001200815,0.000005236237,0.9988953,0.0003433799,0.0005898547],"genre_scores_gemma":[0.000160692,0.00002944262,0.0001991417,0.00004026383,0.000003014812,0.00003937278,0.9989802,0.0001315014,0.00041641],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8602139,"threshold_uncertainty_score":0.4676311,"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."}}