{"id":"W2745373312","doi":"","title":"早期大腸癌の内視鏡治療(EMR~ESD：内視鏡的粘膜下層剥離術)","year":2005,"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":[0.001274712,0.0002159074,0.0001548109,0.0005538769,0.001311759,0.002096082,0.0003402121,0.001041163,0.02336487],"category_scores_gemma":[0.001579326,0.0001392287,0.0002156225,0.0003805116,0.002466052,0.001144141,0.0008642417,0.001042417,0.006928349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00120736,"about_ca_system_score_gemma":0.001297142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002763779,"about_ca_topic_score_gemma":0.002933352,"domain_scores_codex":[0.9993092,0.0001179591,0.00004879904,0.00013033,0.0003090931,0.00008458731],"domain_scores_gemma":[0.9992875,0.0001288985,0.00009649358,0.00009270621,0.0003168371,0.00007750106],"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":[0.0001227019,0.0001377819,0.004390603,0.0002698805,0.0000365114,0.0007951811,0.002578238,0.0005583336,0.02111621,0.7187009,0.03320255,0.2180911],"study_design_scores_gemma":[0.00002323149,0.0002141872,0.009270184,0.0001043405,0.00003589903,0.001436282,0.00151163,0.0005425062,0.0291918,0.08078118,0.8768359,0.00005271287],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07428665,0.004648726,0.01828951,0.01146872,0.001937274,0.000114404,0.0002367106,0.0002075823,0.8888103],"genre_scores_gemma":[0.5544153,0.00328715,0.01763121,0.003934123,0.0008339196,0.0000697101,0.0001804313,0.00005482718,0.4195932],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02336487,"threshold_uncertainty_score":0.07816327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01509723361502533,"score_gpt":0.2592082271930458,"score_spread":0.2441109935780205,"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."}}