{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003933882,0.001189703,0.0008821716,0.001083819,0.002587603,0.009156276,0.001470133,0.02143048,0.03008148],"category_scores_gemma":[0.01200076,0.0007027455,0.00141193,0.00144087,0.003400569,0.004442946,0.001937186,0.01754704,0.0182278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003309103,"about_ca_system_score_gemma":0.003947984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004678513,"about_ca_topic_score_gemma":0.008950466,"domain_scores_codex":[0.9976341,0.0003391442,0.0001817132,0.0002141287,0.001188445,0.000442481],"domain_scores_gemma":[0.9928335,0.003156974,0.0006536715,0.0003196383,0.00152016,0.001516061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004231071,0.00002494131,0.0001579064,0.0001022696,0.000009737766,0.0001820286,0.00006279891,0.00002805513,0.00009722469,0.002271261,0.9846059,0.01241556],"study_design_scores_gemma":[0.00001669842,0.00001673229,0.0004385718,0.0001423939,0.00001645326,0.00009824469,0.00021012,0.00002927275,0.00009376032,0.001104236,0.9978213,0.00001225717],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0004564284,0.01289586,0.0001477288,0.7345785,0.2227887,0.00002155537,0.0002019385,0.00004266645,0.02886656],"genre_scores_gemma":[0.008461541,0.02557511,0.0003538926,0.4431717,0.3736601,0.0000699612,0.0002556891,0.00007264774,0.1483793],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03008148,"threshold_uncertainty_score":0.1006326,"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."}}