{"id":"W2978805862","doi":"","title":"シリーズ 心房細動に対する抗血栓療法の大規模臨床試験（2） アスピリンの有用性を考える","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":[0.0005155888,0.0004542819,0.0004544098,0.0002219942,0.0002120412,0.00003819344,0.0008426005,0.0007032511,0.0150039],"category_scores_gemma":[0.0002247102,0.0004583803,0.0001673172,0.0003529994,0.0005823073,0.0002751896,0.0001250422,0.002765821,0.002275228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003168527,"about_ca_system_score_gemma":0.000108206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005824355,"about_ca_topic_score_gemma":0.00008316855,"domain_scores_codex":[0.9976961,0.00004933216,0.0005176965,0.0004746444,0.0004179606,0.0008442723],"domain_scores_gemma":[0.9985469,0.0001663973,0.00006191679,0.0007613344,0.00005596149,0.0004075191],"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":[0.0001751523,0.00079796,0.002756327,0.001580572,0.001657021,0.001777432,0.006859235,0.0002555326,0.2914114,0.144694,0.3641573,0.1838781],"study_design_scores_gemma":[0.003528502,0.0002384796,0.002876933,0.0002355962,0.0004509121,0.0005289567,0.00141707,0.02847535,0.03582126,0.02070159,0.903805,0.001920391],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5026022,0.0105786,0.0004003277,0.005636127,0.01532231,0.0005212486,0.0001254591,0.002357263,0.4624565],"genre_scores_gemma":[0.9942685,0.001901823,0.0009418985,0.000315723,0.001239214,0.00004321156,0.00003067674,0.00007277194,0.001186184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5396476,"threshold_uncertainty_score":0.9997868,"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."}}