{"id":"W3203885176","doi":"","title":"肝癌の薬物療法 分子標的治療薬 新規の分子標的治療薬:現在進行中の臨床試験","year":2015,"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":[0.0008021862,0.000479862,0.000537212,0.0002322034,0.0001226187,0.00003902892,0.000805682,0.0005360508,0.002618],"category_scores_gemma":[0.0003449466,0.0004829825,0.0001409417,0.0004413328,0.0004212378,0.0003590094,0.0001683234,0.001269395,0.00255171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001336677,"about_ca_system_score_gemma":0.0002230018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008505861,"about_ca_topic_score_gemma":0.00002133424,"domain_scores_codex":[0.9973271,0.0001098062,0.0005826525,0.0004819089,0.000606415,0.0008921247],"domain_scores_gemma":[0.9982893,0.0001262417,0.00007055016,0.0006754997,0.0001053348,0.0007330609],"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":[0.0002567376,0.0004929227,0.001582892,0.0008908439,0.001335333,0.001737992,0.01029387,0.001804906,0.002195386,0.06266616,0.8515084,0.06523454],"study_design_scores_gemma":[0.005453737,0.0004565243,0.0005156078,0.0003140803,0.0004580286,0.0003349431,0.005412219,0.03797743,0.004831433,0.03909209,0.9035363,0.001617588],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1127816,0.08720095,0.002665176,0.01330797,0.01409616,0.0008510091,0.000158738,0.003669961,0.7652684],"genre_scores_gemma":[0.9937149,0.002173014,0.0006822721,0.0004068465,0.001036317,0.00004660382,0.00004206025,0.00007482123,0.001823215],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8809332,"threshold_uncertainty_score":0.9997622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03095460649644113,"score_gpt":0.2740437244058697,"score_spread":0.2430891179094286,"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."}}