{"id":"W2743462276","doi":"","title":"人工股関節ステム周囲骨折Vancouver typeBに対して術中カップを脱臼させて“ゆるみ”を確認し得た1例","year":2013,"lang":"ja","type":"article","venue":"北海道整形災害外科学会","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":[0.0005070678,0.0003270273,0.0001543813,0.001609432,0.005876387,0.00593616,0.0006839148,0.001150092,0.03617613],"category_scores_gemma":[0.001840899,0.0002485448,0.0001878725,0.002360746,0.002196992,0.001109217,0.001322558,0.0012447,0.006488519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01020066,"about_ca_system_score_gemma":0.009513477,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5361262,"about_ca_topic_score_gemma":0.7301911,"domain_scores_codex":[0.9990218,0.0001047695,0.00003685018,0.0001205125,0.0004920546,0.0002240712],"domain_scores_gemma":[0.9988592,0.0001127183,0.00006751351,0.00005059905,0.0007234678,0.00018648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"case_report","study_design_scores_codex":[0.0007550697,0.0001760818,0.07265197,0.000344088,0.00009218416,0.001402179,0.01764313,0.002108552,0.00978478,0.3723317,0.1909676,0.3317426],"study_design_scores_gemma":[0.0000360573,0.0000850704,0.1320785,0.0002603499,0.00003802632,0.0007461339,0.04334378,0.0006186552,0.005817434,0.0333675,0.7835007,0.0001078709],"study_design_candidate":"case_report","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1535382,0.001232323,0.001781828,0.004949529,0.0002415293,0.00008470718,0.001310531,0.00005076949,0.8368106],"genre_scores_gemma":[0.5532147,0.0008959009,0.00333037,0.00100369,0.00003569772,0.00005809982,0.0009144183,0.00005960714,0.4404875],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5361262,"threshold_uncertainty_score":0.9332113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006211593005591651,"score_gpt":0.184697181551821,"score_spread":0.1784855885462293,"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."}}