{"id":"W62526935","doi":"","title":"重度骨欠損と弛みのある人工肢関節ステム周囲骨折に対するステムと同種骨の複合移植片を用いた再建法-Vancouver分類type B3の再建法-","year":2007,"lang":"ja","type":"article","venue":"骨折","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"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":[0.0002941298,0.0002433653,0.0001181265,0.000645813,0.001317878,0.001396216,0.0003938331,0.0006113207,0.03187826],"category_scores_gemma":[0.0008030774,0.0001406101,0.0003096537,0.0005865261,0.0008525123,0.0007975146,0.0003092127,0.0007129092,0.005286063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001160757,"about_ca_system_score_gemma":0.0008848622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009906091,"about_ca_topic_score_gemma":0.006748949,"domain_scores_codex":[0.9997237,0.00002550405,0.000015011,0.00004259592,0.0001216524,0.00007143012],"domain_scores_gemma":[0.9994635,0.00008628082,0.0000596561,0.00004055034,0.000256465,0.00009346296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.001236447,0.000526969,0.06048948,0.0004113165,0.0001079339,0.004412975,0.003540128,0.001377102,0.2643878,0.3601294,0.03690952,0.266471],"study_design_scores_gemma":[0.0001209127,0.0007918231,0.08301913,0.0002071415,0.000157014,0.01991363,0.01122386,0.003075964,0.2968967,0.1384149,0.446058,0.0001209259],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5804765,0.001744845,0.01124517,0.002293851,0.0005640675,0.0001065749,0.0005596704,0.0001106676,0.4028987],"genre_scores_gemma":[0.8686774,0.0009326086,0.007879973,0.0004578127,0.00008259913,0.00004907736,0.0003097552,0.00007119709,0.1215397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03187826,"threshold_uncertainty_score":0.1066434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00782710983515777,"score_gpt":0.2146465087821035,"score_spread":0.2068193989469457,"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."}}