{"id":"W2750693170","doi":"","title":"睡眠障害:超高齢社会における実態とその対策 高齢者の睡眠呼吸障害","year":2017,"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":[0.0004634789,0.0003848264,0.0004465896,0.0001237736,0.0007792359,0.0001147879,0.001545409,0.0004527335,0.004943436],"category_scores_gemma":[0.0003423411,0.0003882259,0.000149196,0.00006786878,0.0007064459,0.0004664315,0.0002546177,0.001089287,0.001751772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005185944,"about_ca_system_score_gemma":0.00007707074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001133111,"about_ca_topic_score_gemma":0.00004036122,"domain_scores_codex":[0.9980333,0.00004415153,0.0004102979,0.0004193199,0.0003571408,0.0007358133],"domain_scores_gemma":[0.9980547,0.00008970144,0.0001163302,0.001396252,0.00004402869,0.0002989441],"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":[0.0002878736,0.0006425107,0.008955725,0.002578707,0.002958943,0.003693292,0.007549645,0.0004705677,0.01617407,0.1025153,0.5140507,0.3401227],"study_design_scores_gemma":[0.006988657,0.0003897283,0.02240308,0.000887369,0.0007866084,0.0002836412,0.001897581,0.04708075,0.0153735,0.03668342,0.8646101,0.002615592],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1473498,0.02286859,0.0005463088,0.01206897,0.009422144,0.0004739006,0.0001224586,0.001437483,0.8057104],"genre_scores_gemma":[0.9905043,0.005838656,0.0003363588,0.0001993832,0.0009294209,0.00003231483,0.00001369614,0.00005423472,0.002091638],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8431545,"threshold_uncertainty_score":0.9998569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02388063563345101,"score_gpt":0.2831049655504125,"score_spread":0.2592243299169615,"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."}}