{"id":"W639250622","doi":"","title":"NEWS & VIEWS 乳癌 : ドライバー経路とエスケープ経路を同時に阻害することにより治療効果が改善する","year":2012,"lang":"ja","type":"article","venue":"Cancer and Clinical Oncology","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","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009949851,0.0003997132,0.00119836,0.00008164379,0.0001477363,0.00001745664,0.0003130354,0.001615649,0.001624947],"category_scores_gemma":[0.0001961942,0.0003639073,0.0002816712,0.0002044109,0.0007870775,0.0002784665,0.0001606614,0.001503714,0.0003711877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001695915,"about_ca_system_score_gemma":0.000207143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002353809,"about_ca_topic_score_gemma":0.001187663,"domain_scores_codex":[0.9970052,0.0002557862,0.001208572,0.0004731326,0.0001099738,0.0009473551],"domain_scores_gemma":[0.9979988,0.0008071,0.0001566675,0.0004654606,0.00004902494,0.0005229869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002084836,0.0005699812,0.1319778,0.0002341425,0.0006599519,0.00003841679,0.001162054,0.00003238863,0.00006053271,0.03060862,0.0464751,0.7879726],"study_design_scores_gemma":[0.00187369,0.0009988053,0.0889081,0.00007432126,0.0004616674,0.00003964322,0.001429045,0.0004020046,0.0000214601,0.003289735,0.9019409,0.0005606578],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4733916,0.2451952,0.0002284154,0.00624306,0.01278555,0.0005397041,0.00006937588,0.0004363548,0.2611108],"genre_scores_gemma":[0.8886128,0.1045127,0.0005616075,0.00166561,0.002513317,0.00007560782,0.000008994304,0.00004399611,0.002005366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8554658,"threshold_uncertainty_score":0.9998813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09902958127717541,"score_gpt":0.4145683742775815,"score_spread":0.3155387930004061,"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."}}