{"id":"W2051547219","doi":"10.1038/480s93a","title":"Patents: Protecting China's national treasure","year":2011,"lang":"en","type":"article","venue":"Nature","topic":"Science, Research, and Medicine","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"Treasure; China; Geography; Political science; Law; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006777836,0.0000833988,0.0001241158,0.0001335826,0.0001085423,0.000006357694,0.0001078286,0.0004363164,0.0004842654],"category_scores_gemma":[0.001297425,0.000054246,0.00004845003,0.0003527203,0.00005635834,0.00007423157,0.00002245349,0.002173784,0.00004364973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005735202,"about_ca_system_score_gemma":0.0001882952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006163801,"about_ca_topic_score_gemma":0.000006565954,"domain_scores_codex":[0.9985638,0.00002881537,0.0001009046,0.0002043902,0.000871104,0.0002309677],"domain_scores_gemma":[0.9993518,0.00001975395,0.00003325375,0.0001348769,0.0002921232,0.0001681903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002619119,0.002646742,0.4766677,0.0009482382,0.0004519436,0.00131543,0.02566457,0.000002982802,0.07972082,0.009868735,0.1031488,0.2969449],"study_design_scores_gemma":[0.002191623,0.000457274,0.9665568,0.0002296347,0.00003061444,0.0002808948,0.0004684282,0.0001807921,0.01215276,0.001102952,0.01620873,0.0001395227],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7414969,0.001377466,0.0001040809,0.003919632,0.0006367015,0.000858206,0.000008305347,0.0001599478,0.2514388],"genre_scores_gemma":[0.9941586,0.00001440718,0.0006630075,0.001315502,0.0004387557,0.0000189547,0.000009369593,0.000009601752,0.003371858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4898891,"threshold_uncertainty_score":0.9444132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06251696182783512,"score_gpt":0.3443048501914546,"score_spread":0.2817878883636195,"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."}}