{"id":"W6906062196","doi":"10.15468/dl.wjh3j9","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); Data set","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":[0.001088745,0.002006804,0.00171314,0.005294218,0.001050823,0.002763777,0.002950355,0.002235087,0.1535716],"category_scores_gemma":[0.00682712,0.0009245586,0.001231964,0.01037007,0.0004681531,0.002410128,0.002637374,0.00209231,0.2081731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001563742,"about_ca_system_score_gemma":0.002456482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02123048,"about_ca_topic_score_gemma":0.03573695,"domain_scores_codex":[0.9988238,0.0001709647,0.0001589678,0.0004130802,0.0002453017,0.0001879038],"domain_scores_gemma":[0.9971104,0.000865394,0.000271039,0.0007481593,0.0006844325,0.0003205792],"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":[0.00003382073,0.00001227201,0.0004156355,0.0006294139,0.00001713817,0.00001677926,0.00002418532,0.0001317973,0.0001147923,0.000392674,0.9968597,0.001351745],"study_design_scores_gemma":[0.00008183021,0.00000906186,0.001881245,0.0002228659,0.00001641622,0.00003950663,0.00007717589,0.0001493418,0.0001796936,0.0008377755,0.9964851,0.00001989123],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003841679,0.00002752682,0.00004001139,0.00003492548,0.00001128226,0.000005075852,0.9989936,0.0003203086,0.0005288665],"genre_scores_gemma":[0.0001582859,0.00003451801,0.0001846444,0.00004730167,0.000003436779,0.00004174753,0.9989768,0.0001289003,0.0004244774],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8464284,"threshold_uncertainty_score":0.5137483,"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."}}