{"id":"W2200663523","doi":"","title":"의료서비스에서 효과적인 커뮤니케이션을 위한 시각언어 활용 연구","year":2013,"lang":"ko","type":"article","venue":"아시아디지털아트앤디자인학회 학술대회 자료집","topic":"Health Education and Validation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medical diagnosis; Memorization; McGill Pain Questionnaire; Process (computing); Unified Medical Language System; Psychology; Disease; Computer science; Medicine; Medical education; Physical therapy; Cognitive psychology; Artificial intelligence; Visual analogue scale; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00179303,0.000466638,0.0005445376,0.0002814221,0.00147745,0.0007333402,0.0008351956,0.0006195423,0.03562912],"category_scores_gemma":[0.0009021345,0.0004805959,0.0002602958,0.001288492,0.0004737709,0.001194959,0.0001270046,0.0006309289,0.03520894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005571829,"about_ca_system_score_gemma":0.001660537,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01992632,"about_ca_topic_score_gemma":0.001143201,"domain_scores_codex":[0.9945073,0.0009747847,0.001048177,0.0008685709,0.001123435,0.001477743],"domain_scores_gemma":[0.9964182,0.000475361,0.0005064883,0.0008006791,0.0006405699,0.00115871],"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":[0.00003563425,0.001246399,0.04665838,0.0004294823,0.0001368235,0.000008598759,0.09674098,0.00001988657,0.0008589418,0.07063658,0.6224161,0.1608122],"study_design_scores_gemma":[0.000744434,0.0001733941,0.09194809,0.0001536468,0.00006546619,0.000004152513,0.01749681,0.0004317991,0.000318189,0.005186935,0.8826151,0.000861957],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7173164,0.0009276149,0.000432254,0.1074653,0.01200239,0.002923152,0.00005441951,0.0005136327,0.1583648],"genre_scores_gemma":[0.9334056,0.0009936302,0.0005526353,0.006861919,0.00328562,0.000227171,0.00008492215,0.00006901467,0.05451946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.260199,"threshold_uncertainty_score":0.9998225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.112927880019962,"score_gpt":0.4438910019252096,"score_spread":0.3309631219052477,"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."}}