{"id":"W2746438901","doi":"","title":"第35回日本アルコール関連問題学会 アカンプロサートの登場 その作用機序と臨床的意義","year":2013,"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002792724,0.0004574916,0.0004727385,0.0002071156,0.0001747549,0.00005571439,0.0007208401,0.0004939298,0.03072116],"category_scores_gemma":[0.0001229456,0.000448465,0.0001555746,0.000347969,0.0003852436,0.0004560173,0.0001322559,0.001161248,0.009803235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007381835,"about_ca_system_score_gemma":0.0000735452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002191996,"about_ca_topic_score_gemma":0.00001608371,"domain_scores_codex":[0.9976219,0.00007255877,0.0005632148,0.0004486028,0.0003881234,0.000905599],"domain_scores_gemma":[0.9986989,0.000155102,0.00006207554,0.0006105577,0.00007418184,0.0003992082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004160741,0.0004160008,0.001629726,0.001300782,0.00132309,0.0004622716,0.004326594,0.0005114697,0.01620597,0.0295311,0.8135632,0.1306882],"study_design_scores_gemma":[0.007389384,0.0007339751,0.01251353,0.0008292004,0.000855678,0.0006043208,0.007485765,0.143828,0.01886516,0.08444002,0.7178837,0.004571224],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3273693,0.0420089,0.001057525,0.01273524,0.006519335,0.001252078,0.00007365031,0.002897445,0.6060865],"genre_scores_gemma":[0.9920135,0.003593893,0.0006438299,0.0004518368,0.0006761412,0.0001402032,0.0000270279,0.00006961509,0.002383943],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6646442,"threshold_uncertainty_score":0.9997967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01429266572044755,"score_gpt":0.2452722987258974,"score_spread":0.2309796330054498,"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."}}