{"id":"W2687372748","doi":"","title":"進行・再発の薬物療法 Eribulin（ハラヴェン(R)）を用いた再発乳癌症例（臨床報告）","year":2014,"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":"Eribulin; Medicine; Computer science; Internal medicine; Metastatic breast cancer; Cancer; Breast cancer","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":[0.0008191344,0.0003419909,0.0002450123,0.0003133962,0.0005537035,0.001083595,0.0002837059,0.000541576,0.009145912],"category_scores_gemma":[0.000713211,0.0001412632,0.0002838122,0.0002373147,0.0007097675,0.0006638507,0.0003417479,0.0006688451,0.003551927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007291544,"about_ca_system_score_gemma":0.0007517948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001429739,"about_ca_topic_score_gemma":0.0009308361,"domain_scores_codex":[0.9996513,0.00007776401,0.00002657683,0.00008838817,0.00009541758,0.00006055759],"domain_scores_gemma":[0.999768,0.00004695488,0.00005157093,0.00002133931,0.00007717565,0.00003491405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"case_report","study_design_scores_codex":[0.001503431,0.0003782217,0.007300206,0.0009882072,0.0002028481,0.00207961,0.0008327477,0.001653406,0.4966288,0.0767731,0.01461873,0.3970407],"study_design_scores_gemma":[0.0001978987,0.001901652,0.009766966,0.0002088654,0.0002410848,0.005095713,0.0009195068,0.001591302,0.5279441,0.01339973,0.4386367,0.00009641932],"study_design_candidate":"case_report","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5082768,0.05845625,0.04345155,0.008910022,0.00253415,0.000424508,0.000789595,0.000568307,0.3765888],"genre_scores_gemma":[0.8543868,0.01494846,0.02124041,0.003729172,0.0007846692,0.0001757155,0.0003400358,0.00008234001,0.1043124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009145912,"threshold_uncertainty_score":0.03059614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01289441866712659,"score_gpt":0.2485166604727695,"score_spread":0.2356222418056429,"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."}}