{"id":"W3205859867","doi":"","title":"多発性硬化症診療最前線 再発予防・進行抑制療法 モノクローナル抗体治療","year":2018,"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":[0.001603992,0.0002568169,0.0001909589,0.0009373007,0.001955423,0.005491552,0.0005593552,0.0009798155,0.01414669],"category_scores_gemma":[0.002653986,0.0001813168,0.0001821219,0.0007707645,0.006088157,0.004108881,0.0009012849,0.001368113,0.002418582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003200525,"about_ca_system_score_gemma":0.003823501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004670703,"about_ca_topic_score_gemma":0.00366363,"domain_scores_codex":[0.9991034,0.0002039714,0.00003850101,0.0001514127,0.0003989094,0.0001039105],"domain_scores_gemma":[0.9985554,0.0004316188,0.0001687198,0.0001011505,0.0005628764,0.0001803029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001664497,0.00003548056,0.001155591,0.0001076438,0.00001448006,0.00008692477,0.003007027,0.0005509534,0.0009542691,0.9413379,0.006158723,0.04657438],"study_design_scores_gemma":[0.00001370704,0.00006186916,0.005126838,0.000189192,0.00003286605,0.0002173599,0.009461,0.001250438,0.002295851,0.753801,0.2275095,0.00004027017],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.05262055,0.00450749,0.02446948,0.02731143,0.000877512,0.00007919761,0.0001502479,0.00009135823,0.8898927],"genre_scores_gemma":[0.8736884,0.003735546,0.0108497,0.002003436,0.00047321,0.00007590705,0.00005881282,0.00003776194,0.1090773],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01414669,"threshold_uncertainty_score":0.04732537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01772030216248074,"score_gpt":0.2674092177864826,"score_spread":0.2496889156240019,"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."}}