{"id":"W1149153891","doi":"","title":"Cable-Ready 索绑内固定术治疗股骨假体周围骨折疗效分析","year":2014,"lang":"zh","type":"article","venue":"山东医药","topic":"Medical Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.001025605,0.0004855625,0.000255517,0.001333296,0.002494409,0.003467407,0.0005505639,0.000830303,0.05103898],"category_scores_gemma":[0.001828623,0.000370104,0.0003016712,0.001877697,0.00199041,0.00202723,0.00093917,0.001155602,0.01041333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002696488,"about_ca_system_score_gemma":0.004886345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0181426,"about_ca_topic_score_gemma":0.03550302,"domain_scores_codex":[0.9993536,0.0001129561,0.00003373379,0.00009896226,0.0003059509,0.0000948062],"domain_scores_gemma":[0.9983959,0.000266682,0.0001298406,0.00009201968,0.0008497717,0.0002657361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0009778305,0.00041369,0.01935312,0.0009127017,0.0001092822,0.001091938,0.008957828,0.001579112,0.05482776,0.2269322,0.1255379,0.5593067],"study_design_scores_gemma":[0.0001812211,0.0008039055,0.03226875,0.0002695282,0.0001489155,0.001089734,0.01612058,0.000892049,0.04219925,0.03829946,0.8675362,0.0001905479],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1328466,0.003980473,0.03909756,0.007012513,0.0009016648,0.0003946938,0.001169946,0.0007007589,0.8138958],"genre_scores_gemma":[0.4191244,0.006222236,0.05285851,0.001723657,0.0003595519,0.000381722,0.001108496,0.0002710077,0.5179504],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05103898,"threshold_uncertainty_score":0.1707424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04917198606739535,"score_gpt":0.3761247375493774,"score_spread":0.326952751481982,"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."}}