{"id":"W2621366750","doi":"","title":"多発性骨髄腫診療の際の画像診断：各種画像診断の有用性,さらには新規PET/CT,ハイブリッド型画像診断に関して（総説）","year":2016,"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":[0.001054655,0.0003335016,0.0002425994,0.0008328414,0.0008279316,0.002123989,0.0003584595,0.001014507,0.007371316],"category_scores_gemma":[0.001770998,0.0002757017,0.000337673,0.0006475281,0.001955536,0.001793622,0.0002667056,0.001095167,0.001877102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001156378,"about_ca_system_score_gemma":0.001075245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005184995,"about_ca_topic_score_gemma":0.00583212,"domain_scores_codex":[0.999642,0.0000595618,0.00003171499,0.00008811877,0.0001367867,0.00004175835],"domain_scores_gemma":[0.9992301,0.0002405538,0.0001271135,0.00007199833,0.0002492674,0.00008086472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001236913,0.0004488738,0.09526176,0.002009599,0.0003907582,0.006411637,0.003033018,0.00382386,0.1477594,0.1069271,0.02383381,0.6088634],"study_design_scores_gemma":[0.000269224,0.001149843,0.1840502,0.000844774,0.00116491,0.03369828,0.007598901,0.009189614,0.2496801,0.1420286,0.3699797,0.0003458798],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.4334831,0.08352082,0.07902721,0.01534857,0.002116106,0.0003698081,0.001312515,0.000477677,0.3843442],"genre_scores_gemma":[0.9060857,0.01939344,0.02626067,0.002171597,0.00112771,0.0001055711,0.0003223436,0.00008744132,0.04444566],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.007371316,"threshold_uncertainty_score":0.02465945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01526970113687841,"score_gpt":0.2521813490525776,"score_spread":0.2369116479156992,"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."}}