{"id":"W2735704269","doi":"","title":"便秘 INTERFACE 呼吸器内科編","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":"Interface (matter); 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":[0.0002917865,0.0002589793,0.0003009241,0.00007379644,0.0004265456,0.00007444771,0.001166671,0.0002853051,0.003772771],"category_scores_gemma":[0.0002324936,0.0002580378,0.00008566042,0.00003993921,0.0005155666,0.0003224863,0.0002217003,0.0008455913,0.001265542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003995416,"about_ca_system_score_gemma":0.00004090037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007822231,"about_ca_topic_score_gemma":0.00002555484,"domain_scores_codex":[0.9987291,0.00002862129,0.0002799621,0.0002861807,0.0002051192,0.000471096],"domain_scores_gemma":[0.9987136,0.00005464117,0.00007741765,0.0009479803,0.0000267549,0.000179609],"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":[0.0002839897,0.0005136729,0.004992502,0.002561046,0.002689629,0.001903708,0.01253385,0.0008023523,0.03434535,0.04545462,0.5585392,0.3353801],"study_design_scores_gemma":[0.00543008,0.0003923682,0.01000269,0.001233005,0.0005553579,0.0002410998,0.002992702,0.06964435,0.06038455,0.02070786,0.826285,0.002130948],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2360243,0.03229518,0.001892892,0.01210805,0.009312824,0.000373671,0.00007287248,0.00116618,0.706754],"genre_scores_gemma":[0.9937029,0.003663599,0.0002495483,0.00008501299,0.0004391627,0.00001504772,0.000004132346,0.0000322851,0.001808279],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7576786,"threshold_uncertainty_score":0.9999872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02397195946029917,"score_gpt":0.294965052002678,"score_spread":0.2709930925423788,"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."}}