{"id":"W23182984","doi":"10.1200/jco.2012.43.4589","title":"广东省中山市：“一号议案”推动农村卫生大发展","year":2008,"lang":"en","type":"article","venue":"中国医药指南","topic":"Myeloproliferative Neoplasms: Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute; Canadian Institutes of Health Research","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009202316,0.0003305083,0.0004714592,0.0009990281,0.000207298,0.0005821724,0.000259292,0.000397264,0.0017198],"category_scores_gemma":[0.002443105,0.0001392039,0.0003606175,0.0009516507,0.0003380634,0.0002856707,0.0002229916,0.0007356051,0.0006132869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003751467,"about_ca_system_score_gemma":0.0005595688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001177841,"about_ca_topic_score_gemma":0.002526626,"domain_scores_codex":[0.9996424,0.0001135277,0.00003311089,0.0000762351,0.00008815419,0.00004655032],"domain_scores_gemma":[0.9988164,0.0004688077,0.0003090391,0.00005258474,0.0002500099,0.0001032472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001127915,0.0001979524,0.9031752,0.000110829,0.0002987109,0.0001083543,0.00006234027,0.003365477,0.0088255,0.0003658285,0.003769251,0.07859271],"study_design_scores_gemma":[0.0001508442,0.001134089,0.9413123,0.00005401208,0.0004742453,0.001660225,0.0001495487,0.02734629,0.01741298,0.002006706,0.008231784,0.00006698535],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9653077,0.002674809,0.01829583,0.0009860242,0.0001606208,0.0001894625,0.005845499,0.0002724654,0.006267563],"genre_scores_gemma":[0.9820855,0.0004596877,0.01198548,0.0002525353,0.0001613329,0.0001361292,0.003197315,0.00001594087,0.001706083],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0017198,"threshold_uncertainty_score":0.005753338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04178020504462482,"score_gpt":0.2736296065569402,"score_spread":0.2318494015123154,"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."}}