{"id":"W2611400581","doi":"","title":"肺がん専門医インタビュー（1）：新しい治療に肺がん治療医はどのように対応すべきか","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004812474,0.0004323719,0.0004927361,0.0001386214,0.0009246574,0.000146461,0.001741685,0.0004879746,0.005133406],"category_scores_gemma":[0.0003842649,0.000438784,0.0001682863,0.00007723604,0.0008399526,0.0005398843,0.0002857372,0.001160492,0.001817709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006062077,"about_ca_system_score_gemma":0.00008953716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001222446,"about_ca_topic_score_gemma":0.00004167305,"domain_scores_codex":[0.9978288,0.00004868922,0.0004561948,0.0004678328,0.0003917019,0.0008067156],"domain_scores_gemma":[0.9977726,0.00009355079,0.0001411518,0.001606278,0.00005175853,0.0003346912],"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":[0.0002842156,0.0007005992,0.01024515,0.002638597,0.003064733,0.004105885,0.007182879,0.0004023433,0.0154416,0.1168602,0.49241,0.3466638],"study_design_scores_gemma":[0.007762216,0.000434331,0.02867512,0.00111422,0.0008958495,0.0003740355,0.002165272,0.04697249,0.01753925,0.0399803,0.8508976,0.003189362],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1369201,0.02310594,0.000571213,0.01036565,0.009401204,0.0004945734,0.0001212872,0.001435694,0.8175843],"genre_scores_gemma":[0.9898124,0.006173668,0.000415148,0.0001969746,0.0009951212,0.00003479333,0.00001465977,0.00006219831,0.002295058],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8528922,"threshold_uncertainty_score":0.9998064,"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."}}