{"id":"W2747266869","doi":"","title":"治療|化学療法~放射線療法~補助療法","year":2007,"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":[0.001053684,0.0003451306,0.0003845222,0.0002326168,0.0001451724,0.00001648743,0.0005171736,0.0004518416,0.004785389],"category_scores_gemma":[0.0001437266,0.0003482464,0.000126854,0.0003819888,0.0003243333,0.0001841522,0.00007872408,0.001081554,0.001824217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007534876,"about_ca_system_score_gemma":0.00004740811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003897761,"about_ca_topic_score_gemma":0.00003831452,"domain_scores_codex":[0.9978902,0.00003903199,0.0005402763,0.0003477871,0.000315849,0.0008669007],"domain_scores_gemma":[0.9989775,0.0001704377,0.00005411199,0.0004427885,0.00003090844,0.0003241933],"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":[0.0003287269,0.0006151686,0.001639824,0.001476509,0.001259977,0.004045475,0.01063293,0.0002766521,0.02740966,0.04810304,0.4990389,0.4051732],"study_design_scores_gemma":[0.002138019,0.000187546,0.002125122,0.0002070604,0.0002112156,0.0002148917,0.002046169,0.003903553,0.01599712,0.004225704,0.9678141,0.0009294756],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2565123,0.1023378,0.01421299,0.004311943,0.0136518,0.000903661,0.00009908361,0.003061106,0.6049094],"genre_scores_gemma":[0.9916086,0.004688343,0.0009689057,0.0003548912,0.0008688533,0.0000128681,0.0000221981,0.00004559682,0.001429801],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7350963,"threshold_uncertainty_score":0.9998969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01614283244887213,"score_gpt":0.2689159449684661,"score_spread":0.2527731125195939,"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."}}