{"id":"W3002870705","doi":"","title":"Medical Scope：IBDにおけるマイクロバイオーム最前線","year":2019,"lang":"ja","type":"article","venue":"Pharma Medica","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scope (computer science); Medicine; Business; 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":[0.0008442415,0.0004146118,0.0005778733,0.0001841605,0.00009349046,0.0000254122,0.00098165,0.0007877202,0.06946413],"category_scores_gemma":[0.0002384968,0.0003975842,0.0001588271,0.0003578419,0.0003414337,0.0002444235,0.0001886826,0.001694519,0.01230326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006963425,"about_ca_system_score_gemma":0.0002522833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004563419,"about_ca_topic_score_gemma":0.00001591129,"domain_scores_codex":[0.9969718,0.00009948396,0.000587163,0.0005045407,0.0009984742,0.0008385643],"domain_scores_gemma":[0.9984891,0.0002317243,0.00005602163,0.0006535731,0.00004240934,0.0005272164],"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":[0.0004089201,0.0009721228,0.01088899,0.005609371,0.003171231,0.003528242,0.00534793,0.0009695391,0.0100144,0.08989562,0.6515184,0.2176752],"study_design_scores_gemma":[0.009281179,0.0006689182,0.002597597,0.002093249,0.0004200173,0.0006492682,0.001914483,0.1154764,0.006629054,0.007327376,0.8504791,0.002463288],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3061529,0.05151118,0.0003475962,0.008288813,0.009223008,0.0007097953,0.00005265986,0.001596805,0.6221172],"genre_scores_gemma":[0.9858895,0.01022717,0.0002024377,0.0008161588,0.0006356728,0.00002677699,0.0000280698,0.00006323703,0.002110985],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6797366,"threshold_uncertainty_score":0.9998476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01231789746864262,"score_gpt":0.2621787742584953,"score_spread":0.2498608767898527,"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."}}