{"id":"W3161581055","doi":"","title":"がんの痛みをとる モルヒネケースレポート Case2 モルヒネに鎮痛補助薬と神経ブロックを加え長期在宅療養を継続中の1事例","year":2002,"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":[0.0004168988,0.0006419274,0.0006474706,0.0003157163,0.0002971066,0.00005019412,0.00084608,0.0006591424,0.03834124],"category_scores_gemma":[0.0001917671,0.0006590369,0.0002389792,0.0006051349,0.0005394754,0.0003676249,0.0001454977,0.00164336,0.005826565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000123055,"about_ca_system_score_gemma":0.00003553731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007286687,"about_ca_topic_score_gemma":0.00002856449,"domain_scores_codex":[0.9967138,0.0001209105,0.0007489492,0.000648367,0.0005816804,0.00118627],"domain_scores_gemma":[0.9982538,0.00022752,0.00008748157,0.0008650046,0.00006306347,0.0005030985],"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":[0.00006236437,0.0007096388,0.0004860098,0.001213627,0.001321519,0.004147666,0.007622895,0.0007518667,0.00452737,0.01855723,0.7782073,0.1823925],"study_design_scores_gemma":[0.003894306,0.0003752381,0.000447655,0.0004209498,0.0005670823,0.0009676935,0.001978188,0.1366022,0.003572182,0.004200531,0.8449984,0.001975524],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0738221,0.122824,0.001271826,0.009918138,0.007887018,0.0008789272,0.0002550667,0.003436976,0.7797059],"genre_scores_gemma":[0.9794353,0.01444487,0.0004698095,0.0005895105,0.0009687045,0.00006110052,0.00002643635,0.0001019021,0.003902382],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9056132,"threshold_uncertainty_score":0.9995861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02415001010476539,"score_gpt":0.2504975987835523,"score_spread":0.2263475886787869,"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."}}