{"id":"W6887070636","doi":"10.15468/dl.m8nvwq","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); Toolbox; Data collection; Range (aeronautics); Software","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":[0.001114723,0.001927581,0.001664994,0.006010771,0.0009290379,0.002592238,0.002815945,0.001909163,0.2023314],"category_scores_gemma":[0.006459495,0.0009853945,0.00118608,0.0111777,0.0004467017,0.002430663,0.002838901,0.001987429,0.2577921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001707611,"about_ca_system_score_gemma":0.002587395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02386997,"about_ca_topic_score_gemma":0.04065509,"domain_scores_codex":[0.9988127,0.0001498466,0.0001528303,0.0003985766,0.0002873201,0.0001986698],"domain_scores_gemma":[0.9969188,0.000814713,0.0002916741,0.0008004796,0.0008125426,0.000361843],"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":[0.00002575935,0.000008702568,0.0003061696,0.0005286758,0.00001378977,0.00001169686,0.0000209854,0.00009870095,0.000107549,0.0003341345,0.9971007,0.001443003],"study_design_scores_gemma":[0.00005860531,0.000006463345,0.00173095,0.0001812616,0.00001300846,0.00002756814,0.00006086374,0.00009904555,0.0001702901,0.0006180095,0.9970176,0.00001634131],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002771364,0.00001879623,0.00003444295,0.00002645849,0.000008974044,0.00000454661,0.9990275,0.0002854551,0.0005661937],"genre_scores_gemma":[0.0001304262,0.00003040302,0.0001832956,0.00003794652,0.000003151169,0.00004127971,0.9988934,0.0001527927,0.0005273193],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7976686,"threshold_uncertainty_score":0.6768661,"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."}}