{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02002671,0.001158208,0.0009010968,0.002602319,0.000817611,0.002600667,0.001621011,0.001625985,0.009492597],"category_scores_gemma":[0.04574914,0.0004833507,0.001496254,0.001013436,0.0006009191,0.002890074,0.002938016,0.001083334,0.001731048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001049994,"about_ca_system_score_gemma":0.002544762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006577057,"about_ca_topic_score_gemma":0.002108763,"domain_scores_codex":[0.9839544,0.01157161,0.001445927,0.0004502579,0.002085683,0.0004921526],"domain_scores_gemma":[0.9599795,0.03055922,0.002794946,0.001237216,0.003954326,0.001474863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001172954,0.008268577,0.04538367,0.006005684,0.000244162,0.0007943135,0.03104976,0.0008189753,0.002569902,0.003124265,0.1051135,0.7954541],"study_design_scores_gemma":[0.005879849,0.02088716,0.295129,0.01203037,0.002216185,0.005096176,0.08884416,0.02116429,0.02026068,0.01478539,0.5124876,0.001219118],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8613558,0.001446768,0.04065715,0.02168615,0.0006212226,0.0155288,0.007180264,0.005454368,0.04606943],"genre_scores_gemma":[0.5728364,0.002220864,0.3821807,0.005489912,0.0002440281,0.01977462,0.004990393,0.0003527269,0.0119102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02002671,"threshold_uncertainty_score":0.1059126,"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."}}