{"id":"W3161134349","doi":"","title":"肝硬変例にみられる蛋白質・エネルギー低栄養と内分泌異常 病態生理と治療における意義 (2)","year":2000,"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":[0.001128755,0.0002994279,0.0002460578,0.0007365963,0.002004049,0.00231398,0.0004231861,0.0008413779,0.01549903],"category_scores_gemma":[0.001780446,0.0002411272,0.0002462587,0.000435197,0.002530192,0.001098343,0.000694931,0.0008624533,0.005055598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009642389,"about_ca_system_score_gemma":0.001759352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002920531,"about_ca_topic_score_gemma":0.003099607,"domain_scores_codex":[0.9991632,0.00014029,0.0000427438,0.0001472086,0.0004034249,0.000103138],"domain_scores_gemma":[0.9989098,0.0003388971,0.0001371243,0.00009131574,0.0004150633,0.0001076265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003731989,0.0003129529,0.01034399,0.0007500916,0.0000913734,0.002505829,0.005372203,0.001190909,0.1156486,0.501343,0.02680536,0.3352625],"study_design_scores_gemma":[0.00006642612,0.0005666449,0.02463557,0.0002141595,0.0001217844,0.00611627,0.005982049,0.001811934,0.1810444,0.1247988,0.6544789,0.0001630736],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1818072,0.006618525,0.04911354,0.006895372,0.001160764,0.000307395,0.0005103197,0.000343258,0.7532437],"genre_scores_gemma":[0.7692276,0.00448016,0.03923538,0.002183106,0.0008484718,0.0002850245,0.0004726744,0.00009879884,0.1831687],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01549903,"threshold_uncertainty_score":0.05184942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01323065956785409,"score_gpt":0.2491597883583659,"score_spread":0.2359291287905118,"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."}}