{"id":"W563064093","doi":"","title":"乳がん治療のツールとしての血中腫瘍細胞と無細胞(セルフリー)DNA","year":2013,"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":"Biology","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":[0.0004167139,0.0003235184,0.0009258235,0.00007397364,0.0001258821,0.00003084961,0.0003120208,0.001499727,0.004202945],"category_scores_gemma":[0.0001707555,0.00029682,0.0001965137,0.000160257,0.0009411267,0.0002016589,0.0001335406,0.001253371,0.0007391104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001200413,"about_ca_system_score_gemma":0.0002256978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004995689,"about_ca_topic_score_gemma":0.0005249921,"domain_scores_codex":[0.9976488,0.0001452934,0.0009715405,0.0005404067,0.00009301583,0.0006009037],"domain_scores_gemma":[0.9982895,0.0008071635,0.0001074632,0.0003948119,0.00008786337,0.0003131907],"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":[0.0001115449,0.0003761293,0.02587239,0.0002455686,0.0008709601,0.00008382498,0.0004962218,0.00007850076,0.0002481344,0.03047629,0.07502076,0.8661197],"study_design_scores_gemma":[0.006545695,0.004660945,0.3791731,0.0002433472,0.0007822548,0.0000707397,0.003291433,0.008231007,0.0001221791,0.07370097,0.5215543,0.001624097],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7937746,0.03184311,0.00006421834,0.008991354,0.004551546,0.0004867031,0.00003803242,0.0003585115,0.1598919],"genre_scores_gemma":[0.9558704,0.03910183,0.00030057,0.001345774,0.0008507991,0.0001351993,0.000006706251,0.00003476737,0.002353995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8644956,"threshold_uncertainty_score":0.9999484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04388162132096424,"score_gpt":0.3671655942326641,"score_spread":0.3232839729116999,"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."}}