{"id":"W2338406815","doi":"","title":"痰と去痰薬をめぐる最近の話題-基礎から臨床まで 去痰薬の病態による使い分けと新たな適応","year":2006,"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":[0.001162503,0.000283466,0.0002624432,0.0006800308,0.002080523,0.00240396,0.0004282172,0.0009586626,0.01618977],"category_scores_gemma":[0.00201729,0.0002617637,0.0003282518,0.0003547325,0.003419293,0.001664527,0.0007309525,0.001333274,0.005248296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001425755,"about_ca_system_score_gemma":0.002010329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003182774,"about_ca_topic_score_gemma":0.002316554,"domain_scores_codex":[0.9990168,0.0001332794,0.00006108066,0.0001804898,0.000485686,0.0001227001],"domain_scores_gemma":[0.9984013,0.000412079,0.0001755862,0.0001750123,0.0006443099,0.0001916132],"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":[0.0002876036,0.0002882143,0.005844638,0.0004547938,0.00007962918,0.0008247643,0.003490542,0.001355554,0.06646365,0.7022268,0.01810881,0.200575],"study_design_scores_gemma":[0.00007214439,0.0007029661,0.01791248,0.0002278641,0.0001354928,0.002023257,0.005891619,0.002101914,0.1818996,0.2723257,0.5165462,0.0001606616],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.1566127,0.006598789,0.04290203,0.009568211,0.001897838,0.0002309272,0.0003570559,0.0002614246,0.781571],"genre_scores_gemma":[0.7997527,0.003622586,0.02386233,0.002377892,0.000661761,0.0001333693,0.0002326535,0.00007794105,0.1692789],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01618977,"threshold_uncertainty_score":0.05416012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01156588935498763,"score_gpt":0.2422935870358271,"score_spread":0.2307276976808394,"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."}}