{"id":"W2044079522","doi":"10.1186/1472-6947-9-40","title":"Improving healthcare consumer effectiveness: An An imated, S elf-serve, We b-based R esearch Tool (ANSWER) for people with early rheumatoid arthritis","year":2009,"lang":"en","type":"article","venue":"BMC Medical Informatics and Decision Making","topic":"Rheumatoid Arthritis Research and Therapies","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Population and Public Health; University of British Columbia; University of Ottawa; Research Canada; Vancouver Coastal Health; Arthritis Research Centre of Canada","funders":"Canadian Institutes of Health Research; Arthritis Society","keywords":"Medicine; Psychological intervention; Rheumatoid arthritis; Health care; Scripting language; Test (biology); Decision aids; Affect (linguistics); Medical education; Nursing; Alternative medicine; Psychology; Computer science; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002348988,0.0002936534,0.0007177771,0.0003308247,0.0004706719,0.0003795015,0.0002356401,0.0002316613,0.00009986101],"category_scores_gemma":[0.0009082705,0.0002138243,0.0001025871,0.0003179177,0.0001772425,0.0007810958,0.00006112008,0.0004485281,0.00001129971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005465177,"about_ca_system_score_gemma":0.0009215765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008979249,"about_ca_topic_score_gemma":0.0005597176,"domain_scores_codex":[0.9963064,0.0001603996,0.000869165,0.0003184632,0.001607386,0.0007381751],"domain_scores_gemma":[0.9961413,0.001785297,0.0001867276,0.0004994716,0.0004997235,0.000887477],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003843924,0.0002326773,0.01564023,0.0008284439,0.00002827736,0.00003160816,0.000829208,0.00002701965,0.00005242962,0.001052459,0.00006477552,0.977369],"study_design_scores_gemma":[0.02633906,0.01277207,0.04261767,0.01716914,0.00001205291,0.0007860922,0.002977846,0.8901336,0.0002996955,0.005069249,0.001005793,0.0008177583],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7277625,0.002542494,0.2683318,0.0001023311,0.00005469534,0.001050675,0.00002481098,0.00009980693,0.00003091994],"genre_scores_gemma":[0.8645759,0.005623395,0.1290801,0.0004764919,0.00004456735,0.000104928,0.00006139404,0.00003183362,0.000001440118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9765512,"threshold_uncertainty_score":0.8719503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02381165015276988,"score_gpt":0.3411987229080467,"score_spread":0.3173870727552768,"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."}}