{"id":"W2980882720","doi":"","title":"Medical Scope：乾癬性関節炎を診る・知る・治す","year":2019,"lang":"en","type":"article","venue":"Pharma Medica","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scope (computer science); Computer science; Medicine; 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":[0.001237378,0.0002679987,0.0002230673,0.0008084556,0.0006270789,0.001350746,0.0002832559,0.0005767102,0.01626812],"category_scores_gemma":[0.002207191,0.0001501702,0.0003873688,0.0004876116,0.001218924,0.0007932395,0.0008198036,0.0005823438,0.002918292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007134465,"about_ca_system_score_gemma":0.001382558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00122416,"about_ca_topic_score_gemma":0.0009243895,"domain_scores_codex":[0.9994111,0.0001496104,0.00004366461,0.00007960737,0.0002498767,0.00006618579],"domain_scores_gemma":[0.9986627,0.0005575734,0.000175142,0.00007232145,0.0003006261,0.0002316642],"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":[0.001085991,0.0004481855,0.05839122,0.001649459,0.000222326,0.001848817,0.003619662,0.002193298,0.08097503,0.0600602,0.01622029,0.7732856],"study_design_scores_gemma":[0.0004460544,0.003988959,0.2125371,0.001593021,0.0006183448,0.01236773,0.009999907,0.003441647,0.1016491,0.08638874,0.5667719,0.0001975169],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.3625536,0.04613686,0.02728955,0.01447001,0.000947581,0.0004290198,0.00100768,0.0002108021,0.5469549],"genre_scores_gemma":[0.9322103,0.01394012,0.008425761,0.00153636,0.0006806313,0.0001651581,0.0002485633,0.00003987357,0.04275321],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01626812,"threshold_uncertainty_score":0.05442226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01009620830768082,"score_gpt":0.2517670523748581,"score_spread":0.2416708440671773,"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."}}