{"id":"W6948788779","doi":"10.5281/zenodo.11992241","title":"China","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Beijing; Cave; Land area; East Asia; World War II; Subsidy","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":[0.0009112808,0.001753623,0.001172102,0.002082335,0.002775002,0.006842099,0.00156813,0.002432871,0.7327592],"category_scores_gemma":[0.001979808,0.0005892965,0.001010285,0.00295527,0.0009428405,0.003418124,0.00307248,0.001809241,0.6349372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001928067,"about_ca_system_score_gemma":0.004246299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005485301,"about_ca_topic_score_gemma":0.00649024,"domain_scores_codex":[0.9988273,0.0001114735,0.00008060042,0.0004278756,0.0003729987,0.0001797206],"domain_scores_gemma":[0.9988828,0.00009330521,0.00007857146,0.0002082132,0.0004516201,0.0002854227],"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":[0.0002745333,0.00009909226,0.001747906,0.001162164,0.00004747857,0.0007545141,0.0003918446,0.0004371926,0.00349067,0.03320616,0.6369169,0.3214717],"study_design_scores_gemma":[0.00001339722,0.00002310432,0.0007807704,0.00007710456,0.000007287825,0.0001826427,0.00009857799,0.000122816,0.0003703158,0.001774715,0.9965388,0.00001060605],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002598498,0.004039681,0.005015547,0.003611156,0.002831104,0.0002822214,0.009152538,0.00347203,0.9689972],"genre_scores_gemma":[0.008481336,0.002712681,0.001945754,0.001245991,0.0004174015,0.0001457888,0.008133919,0.0007342172,0.976183],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2672408,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01700195501142944,"score_gpt":0.2341172956968744,"score_spread":0.217115340685445,"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."}}