{"id":"W3092772469","doi":"","title":"Medical Scope：炎症性腸疾患に伴う脊椎関節炎","year":2019,"lang":"ja","type":"article","venue":"Pharma Medica","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scope (computer science); Business; Computer science; Medicine","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":[0.00150589,0.0002383712,0.0002139771,0.001195862,0.00123146,0.003171511,0.0003509277,0.0007596948,0.008014708],"category_scores_gemma":[0.003450917,0.0001908223,0.0002550991,0.0006612404,0.003842969,0.002035648,0.0009261298,0.001152433,0.001197396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001693681,"about_ca_system_score_gemma":0.002530013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002941807,"about_ca_topic_score_gemma":0.002789985,"domain_scores_codex":[0.9992182,0.0002345825,0.00005539259,0.0001346891,0.0002858316,0.00007120606],"domain_scores_gemma":[0.9975799,0.001009513,0.0003056626,0.0001202744,0.0006551425,0.0003294574],"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":[0.0002884395,0.0003586046,0.04021029,0.001172102,0.0001323407,0.001721725,0.01480636,0.001764149,0.01563391,0.4855975,0.01757798,0.4207366],"study_design_scores_gemma":[0.0001237144,0.0008323903,0.09809133,0.001273136,0.0002933958,0.004228686,0.02866529,0.002671534,0.02005814,0.3823005,0.4612732,0.0001885924],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2102084,0.02722446,0.02519802,0.02993935,0.00118972,0.0002824147,0.0003821114,0.0001455486,0.7054299],"genre_scores_gemma":[0.9276882,0.009918775,0.01098108,0.002107264,0.0008746259,0.0001013575,0.00009009452,0.00002757745,0.04821102],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008014708,"threshold_uncertainty_score":0.0268119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0123130734711566,"score_gpt":0.2623126927252281,"score_spread":0.2499996192540715,"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."}}