{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005439625,0.0007363808,0.0004233313,0.001660132,0.003876684,0.002399374,0.00121502,0.005808075,0.03779897],"category_scores_gemma":[0.004864979,0.0003840255,0.0009993094,0.001052602,0.00274608,0.002110949,0.000941616,0.003914552,0.00488408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002380427,"about_ca_system_score_gemma":0.001626357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007605182,"about_ca_topic_score_gemma":0.009469884,"domain_scores_codex":[0.9991739,0.00007853651,0.00004611801,0.0001484932,0.0001783293,0.0003746271],"domain_scores_gemma":[0.9986503,0.0003730409,0.000275232,0.0001529469,0.0002523963,0.0002961694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"case_report","study_design_scores_codex":[0.0004827464,0.0001815774,0.01829905,0.0002224897,0.0000361924,0.8462566,0.002664373,0.0005918579,0.002542993,0.06547352,0.02773126,0.03551733],"study_design_scores_gemma":[0.00005678074,0.0001010957,0.003869555,0.00008204584,0.00005478326,0.8787164,0.003440474,0.0006941893,0.002535407,0.02283365,0.08756556,0.00005001792],"study_design_candidate":"case_report","study_design_consensus":"case_report","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4139729,0.003616371,0.01211357,0.06816036,0.003549625,0.0006990242,0.001155729,0.0002471406,0.4964853],"genre_scores_gemma":[0.8868399,0.001200486,0.004015265,0.007968112,0.002436838,0.0001483572,0.0002461978,0.00009404084,0.09705072],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03779897,"threshold_uncertainty_score":0.1264502,"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."}}