{"id":"W201496229","doi":"","title":"フィブリン糊(ベリプラストP)と薄型ポリグリコール酸シート(ネオベール)を併用した胸腔鏡下肺悪性腫よう手術後の気漏防止","year":2004,"lang":"ja","type":"article","venue":"Pharma Medica","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":true,"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":[0.0009744281,0.0001852055,0.0001768584,0.0005761541,0.001312913,0.002391134,0.0003052322,0.0009189274,0.008973034],"category_scores_gemma":[0.001677116,0.0001731721,0.0002226427,0.0004340268,0.003999199,0.001648921,0.0006535501,0.001098758,0.002795847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001411316,"about_ca_system_score_gemma":0.001706248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002991098,"about_ca_topic_score_gemma":0.00235211,"domain_scores_codex":[0.9994175,0.0001135733,0.00003409373,0.0001184404,0.000252927,0.00006343149],"domain_scores_gemma":[0.9991865,0.0002223109,0.0001108203,0.00008673385,0.0003146096,0.00007918775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008755222,0.00008104071,0.002650158,0.0002456058,0.00003713868,0.0003957417,0.002730808,0.0007700746,0.01756352,0.8547843,0.01002574,0.1106283],"study_design_scores_gemma":[0.00003578825,0.0002699599,0.008451619,0.0001628465,0.00008014601,0.001109096,0.003449987,0.001294472,0.03702468,0.3895245,0.5585136,0.00008341484],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1222908,0.01134262,0.04224613,0.01712386,0.002247005,0.0001620816,0.0002765896,0.000171474,0.8041394],"genre_scores_gemma":[0.8170046,0.005465686,0.02016332,0.002217346,0.001105817,0.0001035019,0.0001009489,0.00003651706,0.1538024],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008973034,"threshold_uncertainty_score":0.03001779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01504167760569394,"score_gpt":0.2548327694196297,"score_spread":0.2397910918139358,"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."}}