{"id":"W6962264037","doi":"10.15468/dl.yvteb5","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)","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":[0.001105734,0.002034183,0.001672469,0.005210675,0.001040022,0.00267478,0.002923324,0.002030229,0.1711259],"category_scores_gemma":[0.006422955,0.0009740387,0.001153345,0.01016352,0.0004633331,0.002343056,0.002608631,0.002044504,0.227945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001727723,"about_ca_system_score_gemma":0.002539566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02405977,"about_ca_topic_score_gemma":0.03749206,"domain_scores_codex":[0.9988855,0.0001459784,0.000145543,0.0003852583,0.0002527244,0.0001851853],"domain_scores_gemma":[0.9973735,0.0007571175,0.0002542,0.0006733975,0.0006458225,0.0002959381],"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":[0.00002785597,0.00001028182,0.000339709,0.0005224228,0.00001469257,0.00001439957,0.00002426381,0.0001156519,0.0001103973,0.0003881663,0.9971234,0.001308738],"study_design_scores_gemma":[0.0000676158,0.000006949611,0.001683314,0.0001860118,0.00001406699,0.00003441848,0.00006904653,0.0001315338,0.0001855875,0.0007455127,0.9968584,0.00001762202],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003323541,0.00002222668,0.00004265042,0.00003116663,0.00001032656,0.000004551001,0.9989133,0.0003484754,0.0005940579],"genre_scores_gemma":[0.0001462192,0.00003033419,0.0001870282,0.00003950895,0.000003019175,0.0000396803,0.9989415,0.000164556,0.0004480254],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8288741,"threshold_uncertainty_score":0.572473,"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."}}