{"id":"W3156507859","doi":"","title":"マクロ病理アトラス 158 肝細胞癌","year":2001,"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":[0.0008868255,0.0001929286,0.00017949,0.0006233538,0.001705101,0.003524001,0.0003246998,0.001534042,0.05028703],"category_scores_gemma":[0.00207708,0.000153924,0.0001964072,0.0003363385,0.0018641,0.001546344,0.0009622795,0.001553212,0.01322873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001913313,"about_ca_system_score_gemma":0.002215139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002045575,"about_ca_topic_score_gemma":0.002420962,"domain_scores_codex":[0.9994577,0.0001260202,0.00002946922,0.00005433774,0.0002481393,0.00008437879],"domain_scores_gemma":[0.9990861,0.0002819085,0.00006831782,0.00009244653,0.0003404843,0.0001306259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001129073,0.0001497323,0.00137714,0.0002460828,0.00001984545,0.0003152563,0.001637319,0.000218413,0.004342647,0.6484407,0.1765343,0.1666059],"study_design_scores_gemma":[0.00001230152,0.00008065693,0.001990375,0.00009567777,0.000009655051,0.00028285,0.0007673487,0.00009766603,0.001866547,0.03787617,0.9569092,0.00001152647],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02154328,0.006594766,0.00290597,0.03973009,0.003668474,0.00006676917,0.0001141333,0.00007747635,0.925299],"genre_scores_gemma":[0.1800819,0.004733893,0.003427101,0.01759629,0.001846231,0.00008085358,0.0001148599,0.00003677605,0.7920821],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05028703,"threshold_uncertainty_score":0.1682269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01824406285575655,"score_gpt":0.2617239800172199,"score_spread":0.2434799171614634,"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."}}