{"id":"W2661680429","doi":"","title":"防御因子増強薬の有効性を考える；H. pylori およびNSAIDsの両面から（2）","year":2011,"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":"Medicine; Helicobacter pylori; Internal medicine","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":[0.0006083936,0.0001842251,0.0002326966,0.0003669153,0.0004245674,0.00133832,0.000185753,0.0008055876,0.007496036],"category_scores_gemma":[0.0008792895,0.0001876283,0.0003242018,0.0002353076,0.0006004036,0.0005340971,0.000249804,0.0005942918,0.001413337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006374947,"about_ca_system_score_gemma":0.0005785233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002561829,"about_ca_topic_score_gemma":0.002626234,"domain_scores_codex":[0.9996352,0.00005537202,0.00002366659,0.00007906504,0.0001428561,0.00006373439],"domain_scores_gemma":[0.9996164,0.00007878453,0.00009073598,0.00002373332,0.000138615,0.0000518074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002021687,0.0005684629,0.09004672,0.002117921,0.0002788489,0.003374598,0.001979734,0.001026709,0.4696905,0.02956086,0.01244349,0.3868905],"study_design_scores_gemma":[0.0002858847,0.004388073,0.2701039,0.0006756553,0.0005305656,0.009613054,0.005233223,0.002904508,0.3801555,0.02163744,0.3042751,0.0001971265],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7954736,0.04671388,0.01113087,0.0104388,0.001665834,0.0002898233,0.0006418364,0.00013741,0.133508],"genre_scores_gemma":[0.9541659,0.008677866,0.003723409,0.001025226,0.0005078409,0.00005806774,0.000257138,0.00001673768,0.03156781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007496036,"threshold_uncertainty_score":0.02507669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03125479804413392,"score_gpt":0.2504880989557773,"score_spread":0.2192333009116434,"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."}}