{"id":"W3027635815","doi":"","title":"고령자를 위한 일어서기 보조기기 개발 및 평가","year":2019,"lang":"ko","type":"article","venue":"The Journal of Korean Society of Occupational Therapy","topic":"Assistive Technology in Communication and Mobility","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sitting; Usability; Assistive device; Assistive technology; Statistical significance; Physical therapy; Test (biology); Statistical analysis; Physical medicine and rehabilitation; Psychology; Computer science; Simulation; Applied psychology; Medicine; Human–computer interaction; Mathematics; Statistics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007299867,0.0002936124,0.0007045045,0.0000868276,0.0006582599,0.00001005526,0.001541305,0.0005385689,0.00279166],"category_scores_gemma":[0.0001921521,0.0001953614,0.0007558924,0.0003987685,0.0009088157,0.0002139266,0.0002326951,0.002092537,0.0001500425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002987825,"about_ca_system_score_gemma":0.001262317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001133933,"about_ca_topic_score_gemma":0.0000120107,"domain_scores_codex":[0.9949012,0.002029115,0.001624405,0.0001826622,0.0008799045,0.0003826791],"domain_scores_gemma":[0.9908602,0.003119737,0.003037046,0.001188421,0.001667702,0.0001268813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004359062,0.001689421,0.7533589,0.0002738672,0.002306061,7.942375e-7,0.0238621,0.0001073224,0.007848394,0.005743172,0.1692998,0.03115108],"study_design_scores_gemma":[0.004252339,0.0009079127,0.9351465,0.0004772336,0.000127287,0.00002124816,0.01424098,0.0002920811,0.0007544129,0.004340956,0.03917856,0.0002605201],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9710329,0.004436137,0.002256093,0.0188631,0.0009232141,0.000862857,0.0001189349,0.00003266633,0.00147407],"genre_scores_gemma":[0.9783568,0.01272879,0.003601678,0.003244447,0.0003428222,0.000006422453,0.00001983145,0.00003543061,0.001663805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1817876,"threshold_uncertainty_score":0.99812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1423173314934542,"score_gpt":0.4529042437528324,"score_spread":0.3105869122593783,"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."}}