{"id":"W2796141281","doi":"","title":"血液腫瘍専門医インタビューシリーズ（2）：急性リンパ性白血病診療における課題とその対応","year":2017,"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":[0.0006748915,0.0003135988,0.0002009208,0.000686881,0.001727761,0.001906021,0.0003652229,0.0007070987,0.0149572],"category_scores_gemma":[0.001039332,0.0002010498,0.000315948,0.0004489552,0.00203659,0.001285016,0.0006033541,0.000888137,0.00374444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009579117,"about_ca_system_score_gemma":0.001389709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002524357,"about_ca_topic_score_gemma":0.002015402,"domain_scores_codex":[0.9994184,0.00009078171,0.00002788315,0.0001220868,0.0002521544,0.00008881171],"domain_scores_gemma":[0.9993032,0.0001676378,0.00008619922,0.00007012613,0.0003070717,0.00006566238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002050501,0.0002033044,0.006583142,0.0003896694,0.00006533836,0.001158276,0.003487099,0.001998371,0.04533488,0.7530448,0.01629887,0.1712311],"study_design_scores_gemma":[0.0000560017,0.0005024548,0.01798617,0.0001609257,0.0001232231,0.002870241,0.006655172,0.004881546,0.1085031,0.3210838,0.537002,0.0001754502],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1797467,0.003732623,0.0493844,0.004600164,0.001250273,0.0002067039,0.0003789161,0.0002652746,0.7604349],"genre_scores_gemma":[0.8102393,0.002005789,0.02392788,0.0009557472,0.0004626143,0.000135769,0.0002111178,0.00005967637,0.1620021],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0149572,"threshold_uncertainty_score":0.05003679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02388063563345101,"score_gpt":0.2831049655504125,"score_spread":0.2592243299169615,"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."}}