{"id":"W2746445213","doi":"","title":"抗体医薬の有効性と安全性；臨床研究の成績を中心に | リツキシマブ","year":2007,"lang":"ja","type":"article","venue":"Pharma Medica","topic":"Military Technology and Strategies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; Business","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":[0.001116735,0.0002583274,0.0002575765,0.0005914433,0.002274522,0.002770858,0.0003794135,0.0008972039,0.02425345],"category_scores_gemma":[0.002211792,0.0002330692,0.0002925637,0.0003435434,0.003433235,0.001499876,0.000817398,0.001523141,0.008026442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001783778,"about_ca_system_score_gemma":0.002436016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005601855,"about_ca_topic_score_gemma":0.004543521,"domain_scores_codex":[0.9990671,0.0001153675,0.00005034377,0.0001550767,0.0004895872,0.0001224121],"domain_scores_gemma":[0.9983261,0.0003898276,0.0001645707,0.0001778219,0.0007206816,0.0002208732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"systematic_review","study_design_scores_codex":[0.000290351,0.0003205005,0.008585478,0.0003612509,0.00007455398,0.0008852349,0.004168516,0.001106414,0.04584563,0.6434076,0.04220566,0.2527488],"study_design_scores_gemma":[0.00005558172,0.0004653325,0.02072687,0.0001930226,0.00009614775,0.001572665,0.005284613,0.001810229,0.09139098,0.162782,0.7154956,0.0001270121],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.103973,0.00322361,0.02461115,0.01026423,0.001820135,0.0001527429,0.0003392158,0.0003078608,0.8553081],"genre_scores_gemma":[0.6832148,0.002967602,0.01584622,0.003058461,0.0009212081,0.0001178515,0.0002812109,0.0001264725,0.2934661],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.02425345,"threshold_uncertainty_score":0.08113593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01600784411295043,"score_gpt":0.2684639218592026,"score_spread":0.2524560777462522,"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."}}