{"id":"W3148380126","doi":"","title":"新規分子標的薬剤・支持療法の外来導入：シスプラチンを含むレジメン；胃癌","year":2010,"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","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005302263,0.0004488433,0.0004526262,0.0002194508,0.0002090787,0.00003757149,0.000859562,0.0006933545,0.01377696],"category_scores_gemma":[0.0002447781,0.0004526259,0.0001624675,0.0003542379,0.0005436946,0.0002580205,0.0001426786,0.002804632,0.00202644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003188946,"about_ca_system_score_gemma":0.0001142994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007018219,"about_ca_topic_score_gemma":0.00008914585,"domain_scores_codex":[0.9976863,0.0000483773,0.000519393,0.0004770789,0.0004172536,0.0008516473],"domain_scores_gemma":[0.9985533,0.0001765465,0.00006213245,0.0007623772,0.00005749136,0.0003881527],"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":[0.0001658164,0.0007381171,0.002698159,0.00167169,0.001713136,0.001873543,0.006469863,0.0002666287,0.2413957,0.1412364,0.4412807,0.1604903],"study_design_scores_gemma":[0.002946419,0.0002139681,0.002347884,0.0001967485,0.000415982,0.0003944926,0.001259075,0.0256405,0.02730886,0.01890466,0.9187511,0.001620348],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5559467,0.01129755,0.0004844652,0.008559165,0.01566943,0.0005729787,0.0001383687,0.002813092,0.4045182],"genre_scores_gemma":[0.9939422,0.002022741,0.001011449,0.0003940821,0.001237265,0.00004496886,0.00003064367,0.00007312345,0.001243502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4774704,"threshold_uncertainty_score":0.9997926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01242620742157547,"score_gpt":0.2551619172801331,"score_spread":0.2427357098585576,"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."}}