{"id":"W2803064454","doi":"","title":"肺がん専門医インタビュー（4）：肺がん治療における外科医・内科医の繋がりとEGFR遺伝子変異陽性（uncommon mutation)に対する治療戦略","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":"Mutation; Genetics; Biology; Gene","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":[0.0005547937,0.000226691,0.0002213144,0.0007255552,0.0008405505,0.0006738909,0.0004309741,0.0006986577,0.01173959],"category_scores_gemma":[0.001179471,0.0001576018,0.0005208741,0.0004929038,0.000978765,0.0005284749,0.0003279999,0.0005805962,0.002174301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006426374,"about_ca_system_score_gemma":0.00060178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001600714,"about_ca_topic_score_gemma":0.001398106,"domain_scores_codex":[0.9995418,0.00007782893,0.00004425585,0.0001115301,0.0001395298,0.00008521968],"domain_scores_gemma":[0.9992557,0.0001886344,0.0001804175,0.00007974513,0.0001934248,0.0001019114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"qualitative","study_design_scores_codex":[0.001397555,0.0004757195,0.1945954,0.0007989248,0.0004264314,0.01886123,0.002262406,0.001973061,0.3909878,0.04564226,0.009966704,0.3326125],"study_design_scores_gemma":[0.0002346855,0.001853742,0.1669283,0.000342693,0.00102607,0.08141525,0.003429952,0.003040198,0.4689196,0.04308303,0.2295198,0.0002067729],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.915384,0.003562644,0.01285512,0.002204698,0.0004737954,0.0001449727,0.000684822,0.000237437,0.06445255],"genre_scores_gemma":[0.9764503,0.0008433923,0.007494064,0.0004718178,0.000136857,0.00005341399,0.000286176,0.00003153172,0.0142325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01173959,"threshold_uncertainty_score":0.03927279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02281848240818138,"score_gpt":0.2857474071607039,"score_spread":0.2629289247525225,"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."}}