{"id":"W2345994535","doi":"","title":"2型糖尿病治療の最前線：食後血糖改善薬グルベス(R)配合錠の可能性","year":2012,"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":[0.0006230571,0.0004107925,0.0004214201,0.0001862633,0.0001706571,0.00001919319,0.0005273843,0.0004633642,0.008842173],"category_scores_gemma":[0.0001315108,0.0004080082,0.0001469807,0.0003311046,0.000330998,0.0004966413,0.0001181296,0.001088119,0.002865772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007984371,"about_ca_system_score_gemma":0.00005175687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003461175,"about_ca_topic_score_gemma":0.000004753063,"domain_scores_codex":[0.9975905,0.00008228656,0.0004651922,0.0002830632,0.0003795418,0.001199411],"domain_scores_gemma":[0.9987225,0.0001453806,0.00005505973,0.0005195551,0.00003295465,0.0005245475],"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":[0.0001703092,0.001329268,0.01727311,0.00242119,0.00251913,0.0003942391,0.01865806,0.0003555487,0.01521696,0.1510859,0.6479217,0.1426545],"study_design_scores_gemma":[0.002533969,0.0001690658,0.006802378,0.0003044493,0.0005651711,0.0003050904,0.002868099,0.008348979,0.01023807,0.004374065,0.9618492,0.001641515],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.195781,0.1480813,0.001231466,0.00433236,0.01376591,0.0005986732,0.0001155099,0.00251273,0.633581],"genre_scores_gemma":[0.9914853,0.004749619,0.0005490007,0.0003494941,0.001733623,0.00003985502,0.00002810025,0.00006355804,0.001001442],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7957042,"threshold_uncertainty_score":0.9998372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02015347565742347,"score_gpt":0.2656392753610138,"score_spread":0.2454857997035903,"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."}}