{"id":"W6887193136","doi":"10.15468/dl.tbur5y","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); Identification (biology); 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":[0.001177982,0.002015308,0.001722024,0.005330959,0.001107404,0.002958824,0.003170316,0.002095325,0.1841551],"category_scores_gemma":[0.006791893,0.00104386,0.001205939,0.01051908,0.0004695088,0.002592651,0.002776066,0.002191305,0.251963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001616745,"about_ca_system_score_gemma":0.002447657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01958763,"about_ca_topic_score_gemma":0.03214632,"domain_scores_codex":[0.9988346,0.0001559771,0.0001521682,0.000409757,0.0002616695,0.0001858554],"domain_scores_gemma":[0.9972827,0.0008011839,0.0002450001,0.0007092537,0.0006587867,0.0003029915],"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":[0.00002806238,0.00001023802,0.0003189261,0.0005427005,0.0000146754,0.00001437227,0.00002404984,0.0001037278,0.0001146616,0.0004059605,0.9970893,0.001333428],"study_design_scores_gemma":[0.00006331815,0.000006433168,0.001461518,0.0001870474,0.00001374977,0.00003331897,0.00006598164,0.0001197802,0.0001779704,0.0007699145,0.9970841,0.00001682136],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003390529,0.00002392169,0.00005042223,0.00003307978,0.00001130755,0.000005064215,0.9987613,0.0003876576,0.0006935017],"genre_scores_gemma":[0.0001395823,0.00003280623,0.0002035888,0.00004342953,0.000003266899,0.00004328704,0.9988561,0.0001905131,0.0004874397],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8158449,"threshold_uncertainty_score":0.6160601,"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."}}