{"id":"W2751340601","doi":"","title":"日本人における高血圧初期治療のBest Strategy；J-TOPP研究からの提案","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; Artificial intelligence; Mathematics; Natural language processing","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":[0.001335821,0.0004479354,0.0003080965,0.00116252,0.002174279,0.003824377,0.0005920508,0.0009935177,0.01044606],"category_scores_gemma":[0.002876807,0.0002597192,0.0004324177,0.0007627059,0.002293834,0.002574755,0.0009494445,0.001306723,0.003469339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001938915,"about_ca_system_score_gemma":0.002665191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003818521,"about_ca_topic_score_gemma":0.004149279,"domain_scores_codex":[0.9985647,0.0001429349,0.0000742298,0.0002201537,0.0007315669,0.0002663773],"domain_scores_gemma":[0.9982213,0.00038728,0.0001763622,0.0001802481,0.0008215487,0.0002131588],"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":[0.0002063859,0.0004024936,0.01809796,0.0003626646,0.0001442334,0.00161419,0.002445951,0.002417279,0.02035381,0.6825828,0.02276383,0.2486085],"study_design_scores_gemma":[0.00007205646,0.0006249383,0.05259644,0.0002512369,0.0003493692,0.003520559,0.01057751,0.009261931,0.06563035,0.5103424,0.3465561,0.0002171951],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2178355,0.001898197,0.03938671,0.006701471,0.0007307757,0.0002435191,0.0003536623,0.0002701365,0.73258],"genre_scores_gemma":[0.9016407,0.001200974,0.01853414,0.001226244,0.0002492496,0.0001081373,0.0002160973,0.00007251465,0.07675189],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01044606,"threshold_uncertainty_score":0.03494561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01533043683055805,"score_gpt":0.2508663415524108,"score_spread":0.2355359047218528,"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."}}