{"id":"W6905780411","doi":"10.15468/dl.rt5u3j","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); Listing (finance); 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":[0.0009559454,0.001962444,0.001541045,0.00561803,0.0009622322,0.002720138,0.002801905,0.001818154,0.2022894],"category_scores_gemma":[0.006249341,0.001014237,0.001175107,0.01072417,0.0004310657,0.002522945,0.002767824,0.001984122,0.2707135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001872436,"about_ca_system_score_gemma":0.002439094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0259628,"about_ca_topic_score_gemma":0.03948059,"domain_scores_codex":[0.999009,0.0001206506,0.0001225983,0.0003295489,0.0002400931,0.0001781418],"domain_scores_gemma":[0.9974658,0.0006639205,0.0002223034,0.0006704933,0.0006998114,0.0002775898],"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":[0.00002366602,0.000008507571,0.0003026787,0.0004481042,0.00001087729,0.000012537,0.00002099328,0.00009908956,0.0000854846,0.0003543197,0.9969613,0.00167236],"study_design_scores_gemma":[0.0000486299,0.0000051088,0.001383976,0.0001619297,0.000009726454,0.00002807264,0.00005999182,0.0001158737,0.0001556857,0.0006251889,0.9973919,0.00001383134],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002826697,0.00001856633,0.00004493757,0.00003097569,0.0000100611,0.000005195743,0.9986128,0.0004443349,0.0008050222],"genre_scores_gemma":[0.0001459099,0.00003348548,0.0002344394,0.00004102441,0.00000340329,0.00004473274,0.9986439,0.0002180303,0.0006351096],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7977106,"threshold_uncertainty_score":0.6767255,"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."}}