{"id":"W2901891201","doi":"10.14932/jamt.17-156","title":"イオン交換高速液体クロマトグラフィ法においてHbA1c値が偽低値を示した異常ヘモグロビン，HbE-Saskatoonの1例","year":2018,"lang":"ja","type":"article","venue":"医学検査","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":false,"about_ca":true,"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":[0.0002884923,0.0005243406,0.0004891412,0.0002859221,0.0003370295,0.00007309879,0.0006984891,0.0007684045,0.004700027],"category_scores_gemma":[0.00008541905,0.0005587659,0.0001856981,0.000622307,0.0007633941,0.0003259087,0.0001518196,0.0007302915,0.007817536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009500903,"about_ca_system_score_gemma":0.00008183274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001039689,"about_ca_topic_score_gemma":0.0002930986,"domain_scores_codex":[0.997601,0.00006166153,0.0005316954,0.0005860208,0.0002630333,0.0009566281],"domain_scores_gemma":[0.998458,0.00009260617,0.00006324428,0.001074445,0.0001250595,0.0001866454],"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":[0.0002893556,0.0005878541,0.005508282,0.001121214,0.001577013,0.0005453575,0.01482777,0.0006295666,0.01573813,0.5565893,0.3405406,0.06204554],"study_design_scores_gemma":[0.003125441,0.002408543,0.01882666,0.000723783,0.0005014354,0.0003205654,0.008533653,0.02481985,0.02589146,0.1161495,0.7945467,0.00415251],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2948742,0.008493499,0.001248682,0.0009899358,0.00391912,0.0003505374,0.0000803888,0.001829105,0.6882145],"genre_scores_gemma":[0.9887649,0.0004584854,0.001479347,0.000217787,0.001269935,0.00002321579,0.00002066971,0.00008987881,0.007675754],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6938907,"threshold_uncertainty_score":0.9996864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01000810247839862,"score_gpt":0.2129684591897342,"score_spread":0.2029603567113356,"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."}}