{"id":"W2575649137","doi":"","title":"一般内科を受診している身体疾患患者の不眠治療の現状と問題点：問診状況と不眠症状(研究)","year":2005,"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":[0.0004598147,0.0004954815,0.0005053789,0.0002441559,0.0002002128,0.00003442159,0.0007567296,0.0005312555,0.01163693],"category_scores_gemma":[0.0001144308,0.0005110758,0.0001806143,0.0003775573,0.0003965033,0.0004127857,0.0001247068,0.001328118,0.004166474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001309075,"about_ca_system_score_gemma":0.00009426467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000333017,"about_ca_topic_score_gemma":0.00003875517,"domain_scores_codex":[0.9973862,0.00007398266,0.0006329518,0.0004943049,0.0004602005,0.000952366],"domain_scores_gemma":[0.9987139,0.000140277,0.00006746242,0.0006455618,0.0000485918,0.0003842203],"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":[0.0001599805,0.000701659,0.0007154162,0.001075996,0.001430426,0.0007509101,0.00750095,0.00399797,0.01225852,0.04513045,0.5191815,0.4070962],"study_design_scores_gemma":[0.002175789,0.0001384353,0.0005468794,0.0002115692,0.0002509864,0.0001694251,0.001013626,0.04369257,0.009767824,0.003006014,0.9380143,0.001012628],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1550818,0.09386848,0.001638203,0.0220725,0.005435505,0.0007675871,0.0001511468,0.003723777,0.717261],"genre_scores_gemma":[0.9858957,0.00743552,0.00155277,0.0007395149,0.001761828,0.00004179802,0.00002985779,0.00007712788,0.002465876],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8308139,"threshold_uncertainty_score":0.9997341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01511952508600746,"score_gpt":0.2586597855071774,"score_spread":0.2435402604211699,"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."}}