{"id":"W2600847383","doi":"","title":"Multiple Sclerosis Clinical Interview(3)多発性硬化症診療の現状と展望：再発予防・進行抑制を目指した治療のあり方","year":2013,"lang":"ja","type":"article","venue":"Pharma Medica","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Multiple sclerosis; Interview; Psychology; Medicine; Psychiatry; Political 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":[0.004187486,0.0003576637,0.0005028431,0.001784544,0.0020286,0.0008156162,0.0005012032,0.001486118,0.009296503],"category_scores_gemma":[0.01290287,0.0002860495,0.0006996221,0.001104688,0.0008614562,0.0009536416,0.0009642357,0.001706966,0.002970006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001664305,"about_ca_system_score_gemma":0.002463447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007245008,"about_ca_topic_score_gemma":0.01615493,"domain_scores_codex":[0.9982684,0.0004886758,0.0004459993,0.00008928761,0.0005412642,0.0001664521],"domain_scores_gemma":[0.9905279,0.003413648,0.001965123,0.000390118,0.00289266,0.0008107069],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001760626,0.001651814,0.7075595,0.0009465293,0.0004093686,0.001332891,0.02165842,0.0009586695,0.006263885,0.008222382,0.1096891,0.1395468],"study_design_scores_gemma":[0.0003863725,0.0006138422,0.9058886,0.0004404957,0.0001257289,0.001416272,0.01135206,0.0006569485,0.002349316,0.005284656,0.07134481,0.0001409188],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.8162438,0.00151478,0.004695333,0.01969273,0.001083771,0.00767452,0.01264227,0.0001761511,0.1362767],"genre_scores_gemma":[0.8759255,0.001782738,0.03695168,0.01002491,0.0005916266,0.01799324,0.01335237,0.00005600963,0.04332196],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.009296503,"threshold_uncertainty_score":0.03109992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2674163987070519,"score_gpt":0.4204745620571616,"score_spread":0.1530581633501097,"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."}}