{"id":"W6924641695","doi":"10.15468/dl.mq5u3k","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); Data collection; Range (aeronautics)","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":[0.00101146,0.001880941,0.001566303,0.005765465,0.0009812481,0.002552907,0.00266497,0.001807342,0.1960543],"category_scores_gemma":[0.006119227,0.0009140766,0.001137357,0.01086662,0.0004151412,0.002445021,0.002781052,0.001938745,0.270789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001600992,"about_ca_system_score_gemma":0.002623485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02426049,"about_ca_topic_score_gemma":0.04319052,"domain_scores_codex":[0.9988623,0.0001436886,0.0001418823,0.0003788423,0.0002765374,0.0001967624],"domain_scores_gemma":[0.99703,0.0007382153,0.0002814195,0.0007432952,0.0008488415,0.0003581234],"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":[0.00002411813,0.000008206407,0.0002920804,0.0004665763,0.00001196373,0.00001079446,0.00001976231,0.00008396646,0.0000996788,0.000327128,0.9972066,0.001449074],"study_design_scores_gemma":[0.00004956071,0.000006317574,0.001634334,0.000166629,0.00001148672,0.00002625601,0.00005761608,0.00008699429,0.0001587121,0.000616349,0.9971702,0.00001551939],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002913557,0.00002144057,0.00003775111,0.00002748092,0.000009953346,0.00000472589,0.9988918,0.0003131795,0.0006645026],"genre_scores_gemma":[0.000134411,0.00003373053,0.0001911138,0.00004268923,0.000003658383,0.00003834752,0.9988254,0.000160012,0.0005706564],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8039457,"threshold_uncertainty_score":0.655867,"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."}}