{"id":"W6887035518","doi":"10.15468/dl.qdhjqk","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":"Download; Matching (statistics); Range (aeronautics); Order (exchange); 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":[0.001004866,0.001936218,0.001610592,0.00502053,0.0009922808,0.002583803,0.002813458,0.002044598,0.1814715],"category_scores_gemma":[0.006221844,0.0009312547,0.001101468,0.009741429,0.0004550842,0.002433071,0.002721394,0.001964804,0.2425066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001581538,"about_ca_system_score_gemma":0.002421252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02193632,"about_ca_topic_score_gemma":0.03984393,"domain_scores_codex":[0.9989672,0.0001381224,0.0001345781,0.0003683426,0.0002228976,0.0001688343],"domain_scores_gemma":[0.9973001,0.0007437633,0.0002538465,0.0007102895,0.0006819767,0.0003101543],"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":[0.00002666246,0.00001027118,0.0003471107,0.0004990522,0.00001337462,0.00001425743,0.00002392153,0.0001066415,0.0001032348,0.0003637807,0.9971956,0.001296141],"study_design_scores_gemma":[0.00006337549,0.000006812733,0.001637777,0.0001787773,0.00001260319,0.00003373283,0.00006916089,0.0001150955,0.0001702083,0.0007325458,0.9969625,0.00001743245],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003311292,0.00002076833,0.00004127979,0.00003018185,0.00001021803,0.000004759045,0.9989298,0.0003241521,0.0006056258],"genre_scores_gemma":[0.0001525747,0.00002927311,0.0002020062,0.00004285819,0.000003324074,0.00004148444,0.9988692,0.0001620765,0.0004971954],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8185285,"threshold_uncertainty_score":0.6070825,"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."}}