{"id":"W6962590547","doi":"10.15468/dl.n6gkau","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); Confidentiality","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":[0.000993831,0.001924195,0.001488886,0.005128179,0.0009732081,0.002445533,0.002748085,0.002013072,0.154805],"category_scores_gemma":[0.005860397,0.0008779395,0.001135215,0.009843929,0.0004530395,0.002287934,0.002443706,0.001951313,0.2179631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001517609,"about_ca_system_score_gemma":0.002223405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02013043,"about_ca_topic_score_gemma":0.03342173,"domain_scores_codex":[0.9989698,0.0001470133,0.0001298689,0.0003615127,0.0002221059,0.0001696328],"domain_scores_gemma":[0.9974685,0.0007248149,0.0002352001,0.0006705348,0.0006170202,0.000284],"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":[0.00002802727,0.00001205663,0.0003928155,0.0005072887,0.00001472225,0.00001526169,0.00002340893,0.0001340373,0.0001138056,0.0003638749,0.997023,0.00137163],"study_design_scores_gemma":[0.00007137185,0.000008421726,0.001935457,0.0001823087,0.0000143517,0.00003928817,0.00008087946,0.0001639321,0.0001925358,0.0007630567,0.9965305,0.00001798913],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004731269,0.00002715131,0.00004542741,0.00003616819,0.00001247011,0.000005388836,0.9988512,0.0003411317,0.0006337321],"genre_scores_gemma":[0.0001715652,0.00003192425,0.0001850077,0.00004211385,0.000003684028,0.00004270201,0.9989319,0.0001299205,0.000461088],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.845195,"threshold_uncertainty_score":0.5178744,"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."}}