{"id":"W3194424725","doi":"","title":"メタボリックサージャリーへ進む外科，肥満症の外科治療を中心とした診療体制の取り組み，世界的展開と日本の取り組み","year":2012,"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":[0.001006169,0.0001984667,0.0001723318,0.000621857,0.001788611,0.002724092,0.0003815792,0.0009138537,0.0144614],"category_scores_gemma":[0.001996876,0.0001874598,0.0002309896,0.0003762417,0.003438875,0.001765944,0.0006429352,0.001144408,0.003738021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001643216,"about_ca_system_score_gemma":0.002266722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00452797,"about_ca_topic_score_gemma":0.003616943,"domain_scores_codex":[0.9993386,0.000087136,0.00003662307,0.000120602,0.0003491638,0.00006795724],"domain_scores_gemma":[0.9988335,0.000308542,0.0001312999,0.0001059082,0.0004796535,0.000141102],"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":[0.0001322459,0.0001793393,0.005159002,0.0002727064,0.0000502426,0.0005047923,0.003440607,0.001398264,0.02062194,0.7853785,0.01337245,0.1694898],"study_design_scores_gemma":[0.00005595522,0.0004203842,0.02081523,0.0002340948,0.0001103113,0.001157333,0.007030543,0.002302916,0.05581612,0.4064341,0.5054999,0.0001229801],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1078098,0.004789962,0.03006292,0.0107021,0.001149258,0.0001673703,0.0002098379,0.0001435018,0.8449653],"genre_scores_gemma":[0.7784084,0.003471202,0.01846216,0.002301142,0.000573936,0.00008785597,0.0001133751,0.00003985206,0.196542],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0144614,"threshold_uncertainty_score":0.04837817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02015347565742347,"score_gpt":0.2656392753610138,"score_spread":0.2454857997035903,"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."}}