{"id":"W3138495274","doi":"","title":"Medical Scope：周産期関節リウマチ患者の診療ポイント","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); 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007523244,0.0004079595,0.0005579657,0.0001963783,0.00009128913,0.00002463472,0.0009783377,0.0007673317,0.07202651],"category_scores_gemma":[0.000234417,0.0003923468,0.0001525492,0.0003597167,0.0003512184,0.0002403315,0.0001909741,0.001650792,0.01109047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006966665,"about_ca_system_score_gemma":0.0002464652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006474538,"about_ca_topic_score_gemma":0.00001343571,"domain_scores_codex":[0.9970234,0.00009348521,0.0005768808,0.0004994214,0.0009862671,0.0008205532],"domain_scores_gemma":[0.9985102,0.0002215393,0.00005451811,0.0006497586,0.00004379085,0.0005201949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003839745,0.001029859,0.008843836,0.006207959,0.003099764,0.003841648,0.005919793,0.001420979,0.0100398,0.1123057,0.6275432,0.2193636],"study_design_scores_gemma":[0.008444256,0.000620691,0.002108295,0.002218789,0.0003770438,0.0006202416,0.002062098,0.1257068,0.007075863,0.006626716,0.8417581,0.002381037],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3038841,0.05036484,0.0003309897,0.007287372,0.00981373,0.0006879965,0.00004677769,0.001557279,0.6260269],"genre_scores_gemma":[0.9852648,0.01100365,0.0001953749,0.0007293095,0.0006665799,0.00002493114,0.00002745637,0.00006385134,0.002024053],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6813806,"threshold_uncertainty_score":0.9998528,"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."}}